Resume Examples: 100+ Real Resumes That Landed Interviews (2026)

• Own service level objectives and alerting for 380+ backend services and their front ends, and share weekly on-call duty.
• Moved builds and releases to Terraform and pipeline automation, raising release frequency by 250%.
• Led the system design for caching and request paths on core services, cutting latency by 80%.
• Built a high-volume notification service in Java that now sends 600K+ messages a month.
• Took charge of incident response when 300K+ hijacked machines flooded the site, and blocked them until no bad requests got through.
• Build REST APIs that feed data to web and mobile apps, and load-test them before each major release.

• Cut cloud storage costs by $800K+ a year with default cleanup and retention rules.
• Rebuilt a reporting API over an Oracle database of 5M+ records and cut its codebase in half, making queries faster and the code easier to maintain.
• Trimmed setup and teardown in the front-end build, saving $240K a year in compute costs and hundreds of developer hours a month.
• Right-sized cloud scaling and resource limits across services, saving $120K a year.
• Ran secure coding reviews and worked through open security findings with each service team, cutting open vulnerabilities by 75%.

• Wrote backend services in C#, ASP.NET, and SQL for internal business apps used by 150+ staff.
• Tuned slow data loads with query fixes and parallel ETL jobs, making them 8x faster.
• Built 8+ Angular dashboards with 40+ charts on top of internal web APIs for operations teams.
• Added automated security checks to the build pipeline and cut build times by 60%.

• Graduated with honors

• Moved legacy Python services off single VMs and onto Kubernetes, cutting hosting costs by 55% and trimming day-to-day ops work.
• Led a small team that built an internal analytics service, cutting the time to find the root cause of failures by 60%+.
• Built document intake and search indexing for a new product, cutting the wait for fresh records to become searchable from 45+ minutes to about 12 seconds.
• Built a developer help tool that uses retrieval over internal docs and code, raising code search accuracy by about 55%.
• Covered a regular on-call shift for a platform running 150K+ containers, ran incident response, and wrote postmortems that fed fixes back into the backlog.

• Created a starter template for REST APIs with OAuth2 that cut the time to start new API projects by 40%.
• Profiled cloud disk use across a large VM fleet and found changes that saved $400K a year.
• Tuned session and cache use so a busy app could run on a 30% cheaper hosting tier.
• Set up CI/CD across several apps, cutting deploy time by 70% and production defects by 30%.
• Built feature pipelines that fed 80K+ inputs into production ML models.

• Built and maintained 65+ client websites to accessibility rules with high page-speed scores.
• Wrote a shared set of SQL fixes and table notes that cut repair time on urgent data problems by about three quarters.

• GPA 3.5+
• Minor in information technology

• Wrote Go services for the timesheet approval flow, packaged them in Docker, and kept them steady for 120+ concurrent users.
• Added database indexes and rewrote slow queries behind the pay stub page, cutting its response time by 20%.
• Put an API proxy in front of the payroll screens so internal record IDs no longer reached the browser, closing a penetration test finding.
• Set up AWS build and deploy pipelines so each merge lands in staging and goes to production after one approval.
• Swapped a list scan in the shift lookup for a hash map index, so lookups stayed quick as the staff list grew.
• Took tickets from grooming through code review to release in Scrum sprints.

• Wrote Python scripts that rerun and score lab experiments the same way every time, replacing checks the team used to do by hand.
• Grouped open-ended survey answers with k-means in scikit-learn and charted the clusters for the lab's weekly meeting.

• Profiled the slowest screens on a customer portal and pulled state up out of nested React components, so pages loaded about 25% faster.
• Shipped small features and bug fixes across the React front end and its Node.js API without breaking calls from existing clients.
• Wrote a Python script that parses call log exports and flags failed requests, so support staff could spot patterns without reading raw logs.

• Added WebSocket push to an internal ad reporting tool, so new numbers reached staff 45% faster and without a reload.
• Wrote Jest tests for the tool's data formatting code and kept its coverage above 65% before each change went out.
• Patched front-end code and dependencies during a framework upgrade and ran regression tests on each page.

Map of local food pantries with open hours and stock notes, built with a campus volunteer group. github.com/ethan-morales-example12

• Scheduled a nightly job that pulls pantry listings from county feeds and merges duplicate entries, saving about 1.5 hours of hand work a week.
• Added role-based sign-in so pantry staff can edit hours while visitors can only view them.
• Cached map tiles and search results so typical searches came back quicker.

Builds game schedules for campus intramural leagues and keeps players up to date.

• Built the admin dashboard where league organizers manage games, teams, and sign-ups, cutting their admin work by about 30%.
• Pushed live score and reschedule alerts to players over WebSockets.
• Checked new sign-up passwords against a public list of breached passwords.

Course project predicting loan default from public lending data.

• Joined and cleaned the lending tables in SQL before training, dropping rows with missing income data.
• Tested logistic regression against gradient boosting on a held-out set, and the better one reached about 65% accuracy.
• Picked out the strongest risk features and explained them in a plain-language notebook for readers without a stats background.

• Tuned a high-volume Java event service, cutting its memory and server use by 55% and lowering cloud costs.
• Built order and payment APIs that cut error rates by 35%.
• Built an event-driven data intake platform in Go and Java that replaced 240+ one-off supplier feeds, so each stage scales and fails on its own.
• Rebuilt catalog document intake to run in near real time, cutting the wait from 50 minutes to about 8 seconds and trimming server costs.
• Wrote 15+ runbooks, health checks, and Datadog and Grafana alerts for the 25+ services the team owns, and took a regular turn in the on-call rotation.
• Ran A/B tests with product and data partners on new storefront features to guide pricing and promo choices.

• Built a shared library of request and response contracts used by several .NET services, saving about 8 hours of setup on each new project.
• Moved an internal reporting API from REST to GraphQL so screens fetch only the fields they need.
• Led 4 engineers rebuilding a Spark data platform, adding peer review and release checks that cut defects by 25%.
• Split a high-traffic customer account service into microservices used by 4M+ active users, cutting response times by 25%.
• Wrote API guides and code samples for 80+ partner apps, so their developers could get started faster.

• Worked a support queue of 150+ issues a month across services and SQL databases, and built a shared SQL query library that cut troubleshooting time by 70%.
• Built React and Node screens for payroll workflows.
• Added OAuth 2.0 sign-in for third-party integrations and wrote the functional and integration tests behind it.
• Wrote more automated tests for core services, raising coverage by 35% so fewer bugs reached production.

• GPA 3.5+

• Built and shipped customer-facing features end to end, from design and testing through deployment.
• Led a caching project for the Node.js services that made them 40% faster.
• Modernized older React views so the main pages load faster, lifting page performance by up to 15%.
• Mentored newer developers through pairing and code reviews that favor small, readable pull requests.
• Designed and built REST endpoints and backend services with product and design partners.

• Joined the effort to split a monolithic analytics service into smaller Node.js and TypeScript services that the team could deploy one at a time.
• Built the REST APIs those services use to talk to each other in real time, raising system efficiency by about 15%.
• Built React dashboards that show call activity by account for customer-facing teams.
• Wrote and tuned SQL over large event tables in BigQuery to power the usage reports sent to enterprise customers.
• Added Jest and browser test suites to the CI pipeline so every pull request ran checks before merge.
• Closed accessibility gaps in the web app with semantic HTML, ARIA labels, and full keyboard support.

• Turned Figma designs into responsive, accessible pages for a client web platform with 60,000+ users, working in HTML, CSS, and JavaScript.
• Replaced a client's email-and-spreadsheet approval process with a small web tool that cut manual work for their office staff.
• Fixed front-end and API integration bugs across client projects through code review and QA.
• Set up local test environments in Docker so developers no longer waited on staging merges, raising testing efficiency by 30%.
• Wrote technical guides on features and setup so the next developer on each account could pick up work quickly.

React and TypeScript site that lists open-source work by pulling repo data, grouped by topic tag, from the GitHub API.

• Runs Jest tests and lint checks in a CI pipeline before each deploy.

• Moved services off AWS Lambda into containerized microservices on EKS with queue-based workers, so the product could serve 20,000+ users at once.
• Split a large monolith into services behind an API gateway and retired the legacy systems.
• Redesigned the PostgreSQL schema and indexes behind the busiest endpoints, cutting average query response time by 45% while the system took on 75% more concurrent users.
• Set code review, branching, and security rules for the backend team, and moved older code into Git with pull request checks.
• Linked the app's MySQL data to the finance team's accounting software through its API, raising accounting productivity by 30%.

• Tuned slow MySQL queries and added missing indexes, cutting query latency by 50% for an app handling 8,000+ transactions a day.
• Monitored core services and added automated tests, keeping downtime under 2.5 hours a year.
• Built the payroll and leave API for an internal HR tool, automating 65%+ of the people team's manual work.
• Added single sign-on with OAuth 2.0 for the customer web app and the internal admin tools, so staff kept one login.
• Wrote ETL endpoints that move data from intake and survey tools into the analytics warehouse.

• Built backend APIs in Node.js and TypeScript for a web app with 60,000+ users.
• Added comments and push alerts to a customer-facing web app, lifting user satisfaction by about 25%.
• Built a Kotlin Android app for internal staff and set up its build, test, and release pipeline.
• Wrote unit and integration tests for new endpoints and fixed issues raised in code review.

• Led front-end work on the dealer reporting screens in Next.js and TypeScript, adding live charts that lifted engagement by about 45%.
• Served key pages with server-side rendering and smarter caching, so the site handles 3M+ finance applications with load times on the busiest routes 25% lower.
• Wired Jest and Cypress checks into every pull request so each change gets unit, browser, and full-flow testing before merge, cutting UI bugs by about 50%.
• Added front-end error tracking and alerts so the team spots slow pages and broken flows before customers report them.
• Wrote short technical notes each sprint that explained design choices and made handoffs easier.
• Coached newer developers with pairing sessions and detailed review notes.

• Set up a shared React and Storybook component library for every squad, which cut the time it takes to build a new screen by 30%.
• Moved state handling to Redux in an internal app used by 1,200+ employees, trimming repeated code by about 25%.
• Reworked slow API calls and database indexes with the back-end team so account dashboards loaded faster.
• Joined a cross-team group that profiled a slow app running on several platforms and cut its processing time by about 35%.
• Ran onboarding experiments with product managers and shipped the winning screens, raising user activation.

• Rebuilt an old jQuery customer portal in React, which made screens about 30% faster and cut maintenance work by about 35%.
• Built small React tools for internal teams that took repetitive manual steps off their plates, saving 25+ hours a month.
• Added chatbot features to the support site with senior developers, used feedback from 800+ customers to pick fixes, and lifted satisfaction ratings by about 30%.
• Turned Figma designs into responsive, pixel-accurate pages for a device owner portal used by 40,000+ customers, working with back-end developers on REST API hookups.

• Lead a team of 5 engineers building Python APIs for data intake and reporting on AWS, with design reviews and mentoring for each new hire.
• Moved service logs off a costly hosted tool onto a pipeline built with Kinesis and Athena, cutting logging spend by 40%.
• Tuned slow service paths with senior engineers and cut overall system response time by 20%.
• Ship every service through automated tests and a GitHub Actions pipeline, including a customer deposit service that now holds $1.5M+ in funds.
• Encrypt customer data in caches, databases, and logs through one shared library that every service calls.
• Maintain a Python forecasting job that reads 10M+ rows of historical market data for the reporting team.

• Built Airflow and dbt jobs that turned raw usage and order data into clean tables for analysts, saving about 70 hours a week of manual pulls.
• Moved a set of REST endpoints to GraphQL so web and mobile clients fetch only what they need, improving API response efficiency by 30%.
• Cleaned up an internal library of 50+ Python scripts, most of which failed at the start, and made them installable as a package.
• Built a Grafana drift dashboard with the data science team, cutting manual checks by 15+ hours a week and lifting model reliability by 45%.
• Shifted batch workloads to a lower-cost cloud setup with alerts kept in place, cutting infrastructure spend by 45%.
• Started a shared review checklist that sped up code reviews by about a third and caught bugs before merge.

• Wrote Django and Flask services behind a customer chat bot, lifting satisfaction ratings by 30% in feedback from 800+ users.
• Added a pytest suite and pre-merge checks that cut production bugs by about a quarter.
• Built a retry layer with backoff, idempotency keys, and a dead-letter queue for batch jobs.
• Built a job scheduler that runs 80M+ events a day for teams across the company.
• Built parallel pipelines that process 10TB+ of raw event data so downstream jobs could find patterns early.

• Moved 400+ on-site applications to Azure and a smaller VMware cluster, cutting running costs by about 35%, then shut down the aging server rooms.
• Run Teams, SharePoint, and Exchange Online for 8,000+ users, including retention rules and outside sharing limits.
• Rolled out Intune for 3,800+ Windows, Mac, and phone devices.
• Write PowerShell and Bash scripts for patching and account cleanup, cutting manual processing time by about 30%, and pair each with a short runbook for the help desk.
• Write plain how-to guides for staff and teach quick sessions on the collaboration tools, which has cut support tickets by 45%.

• Reworked backup, recovery, and monitoring for 380+ servers to protect key company data.
• Owned account setup and removal for new hires and leavers, and rewrote the user and group rules so access problems fell by about a fifth.
• Rebuilt 1,600+ old approval workflows in a low-code tool, saving staff 60+ hours a month.
• Moved 2,800+ staff mailboxes to a new email system.

• Kept 250+ Windows servers patched and backed up, and cleaned up cluttered Group Policy.
• Brought 7,500+ student and staff devices under central management, including 450+ Macs across several sites on one standard image.
• Worked the escalation queue and coached help desk staff, cutting tickets passed up to the systems team by 15%.

• Moved sign-in for 70+ business apps to one cloud identity provider, with MFA and conditional access for every user.
• Run AD, DNS, DHCP, and group policy for 18,000+ user and service accounts.
• Rewrote the nightly file transfer jobs and cut their run time by 55%, so data reached downstream teams on time.
• Automate patching, imaging, and disaster recovery steps with Ansible and PowerShell across 6,800+ RHEL and Windows endpoints.
• Keep a library of 110+ how-to articles so the help desk can close more tickets without passing them up.
• Serve as the last stop for escalated issues across 1,600+ servers, and cut downtime by 35% with root-cause fixes.

• Moved most physical servers onto a VMware cluster, retired the old hardware, and cut physical server costs by 35%.
• Built 65+ RHEL servers from kickstart images and kept a fleet of 1,100+ Unix and Linux servers on a set patch schedule.
• Moved 15,000+ users from on-prem Exchange to cloud mail.
• Ran a $120K+ device budget, from purchase and rollout to repair, and managed access control across the company's SaaS apps.
• Trained 20+ new admins and technicians on in-house systems and daily operations.

• Closed 250+ help desk tickets and re-imaged and set up 50+ workstations for staff.
• Wrote plain setup guides for the apps people asked about most, which cut support questions by 50%.
• Kept 5,000+ laptops and desktops enrolled and up to date in device management.
• Monitored servers and core business systems for the NOC, fixed first-level issues, and escalated outages with clear notes.

• Run a $1.2M IT budget and a 7-person team serving 2,500+ users, and cut $150K+ a year from support partner and tool contracts.
• Rebuilt the disaster recovery plan with system owners, and led the response to a cyber attack that put $800K a day in revenue at risk.
• Consolidated a sprawling virtual environment onto an open-source platform, ending yearly license fees and cutting support work by 45%.
• Led a data center consolidation that saved $5M+.
• Rolled out a cloud email, chat, and office suite company-wide and trained 90 staff in small hands-on sessions.

• Owned the device lifecycle for 5,000+ laptops and phones, from $250K in vendor purchases and MDM enrollment to retirement.
• Automated password resets, new-hire setup, and other routine requests, lifting team efficiency by 60% and freeing time for project work.
• Reworked ticket roles and added a second-look review on closed tickets, cutting repeat escalations by 40% and average close time by 65%.
• Launched phishing drills and short security trainings that cut phishing incidents by 55% and raised awareness scores by 70%.
• Wrote standard runbooks for outages and changes, which cut service outages by 45%.

• Cleaned up directory groups and access rules, which cut access-related tickets by 20%.
• Replaced tape with off-site backups and a tested failover site for core county systems, cutting backup time by two thirds and setting a 5-hour recovery target.
• Wrote scripts to handle account setup and routine health checks on servers, cutting processing time by 30%.
• Consolidated 350TB+ of scattered shared drives onto one central file server, improving file retrieval speed by 250%.
• Handled tier-three support for field office staff and wrote 40+ how-to guides for common fixes.

• Replaced a paid monitoring vendor with a self-hosted stack for metrics, logs, and traces, cutting that bill by 60%.
• Taught database design and query habits to 75+ developers in a series of short internal classes.
• Worked 25+ reported web security flaws through to fixes with the owning dev teams.
• Built Git-driven CI/CD pipelines with linting, tests, and security scans for a team of 8 engineers, and wired in monitoring that catches about 80% of issues before release.
• Run the infrastructure behind a customer support contact center serving 7M+ users, from design and vendor choice through automated deploys.
• Set SLIs and SLOs with product teams and coach them on using error budgets.

• Managed configuration for a fleet of 30,000+ servers with Chef cookbooks, with every change peer-reviewed before it shipped.
• Stood up and ran a 25-node Kubernetes cluster for a telemetry pipeline.
• Wrote self-serve tooling for Aurora test databases that cut setup time by 50%, so dev and QA teams stopped waiting on tickets.
• Replaced hand-run deploy scripts with a shared Jenkins pipeline that every app team could use.
• Reviewed AWS service use and moved traffic onto private endpoints, saving up to $12K a month.

• Automated server builds with Ansible playbooks, ending config drift and cutting build time by about two thirds.
• Tuned and patched busy LAMP web hosts so hosting customers stayed within their service targets.
• Shared on-call for a multi-region Linux stack running Tomcat, MySQL, and message queues.
• Built a log ingestion pipeline that handled 120GB+ a day and cut ops requests for old logs by 75%.

• Run the incident bridge for major outages on systems serving 1,200+ users and lead blameless reviews, which cut repeat incidents by about a third.
• Moved first-line paging for key services to the teams that build them, with runbooks and alert rules to match.
• Added tracing to core services so on-call engineers can follow a slow request across every hop.
• Rebuilt CI/CD pipelines and wrote reusable Terraform for new clusters, cutting deploy time by about 70% and giving each service a tested, secure base.
• Coach junior engineers, built one onboarding path, and set shared ways of working that lifted team efficiency by 55%.
• Work with dev teams to retire old cloud services the apps no longer need.
• Review how services talk to each other in the cloud and move traffic onto cheaper private paths, saving $4K to $12K a month.

• Added code and container security scans to every build, which blocked risky releases and cut critical vulnerabilities by about 35%.
• Ran capacity reviews on the busiest services and right-sized instances, holding yearly cloud spend growth to about 10% as capacity grew.
• Moved metrics and dashboards off a paid vendor onto self-hosted open-source tools, cutting monitoring spend by about 55% while teams used them more.
• Wrote scheduled jobs that shut down idle test machines, trimming the cloud bill by 25%.
• Replaced an aging internal app with a small stateless Python service running on the container platform.

• Built Kubernetes clusters by hand on virtual machines for the first customers who wanted managed containers.
• Wrote tooling that took bare-metal server orders from request to ready without manual steps, across a fleet of 30,000+ servers.
• Tuned load balancers for busy hosting clients, cutting page latency by about 25% and raising throughput by about 40%.
• Led the switch from SVN to Git for the hosting tools team, with short-lived branches for each change.

• Scripted patching and new server builds, which cut unplanned downtime on customer portals.
• Checked SQL Server and MySQL database backups and kept restore steps written down.
• Wrote Puppet modules and taught other teams to automate their own servers with them.

• Assessed security and encryption risk at 25+ acquired companies and set the fixes each one needed before joining the main network.
• Rolled out code scanning and secret detection across engineering repos and coached teams to 75% adoption.
• Moved staff access to zero-trust rules built on identity and device checks, with logging at each step.
• Joined identity and threat data in the SIEM, cutting incident response time by 45% and doubling threat detection accuracy.
• Deployed endpoint detection and response with DevOps teams so threats were caught and contained as they happened.
• Wrote the incident response plan and playbooks for the most likely attacks, then walked the IT team through them.

• Built the vulnerability and secure-configuration program for servers and endpoints, with patch lists sorted by risk.
• Stood up an asset and change database so every system had an owner, a patch record, and an audit trail.
• Handled 250+ account and access changes a month and tightened the onboarding and offboarding steps.
• Ran the technical design for a $100M+ intrusion detection and prevention program across cloud and plant networks.
• Ran threat models and wrote security plans for 7 critical apps with their owning teams, and tracked each one to sign-off.
• Ran 25+ secure coding and phishing awareness sessions for developers and staff.

• Cut firewall rule request turnaround from about 3 months to a few hours by taking over rule reviews with the network team.
• Shared round-the-clock support for 12,000+ users across the city network.
• Rolled out endpoint management for 2,500+ staff laptops and desktops, bringing the whole fleet under one patch and policy baseline.
• Joined penetration tests of city sites and wrote the findings up as plain fix lists in priority order.

• Triage SIEM alerts in Splunk and pass confirmed threats to the incident lead with log evidence.
• Run Nessus and Nmap scans on internal and external hosts, risk-rank each finding, and track fixes with system owners.
• Map security controls to the NIST framework ahead of audits and keep the evidence folder current.
• Run GoPhish phishing tests for staff with short follow-up training, cutting click rates about 30% on the retest.
• Write plain-language findings reports for IT leaders, with a short summary and clear fixes.

• Solved most help desk tickets in one pass, often the same day.
• Created user and group accounts on the Windows domain, managed DNS and DHCP, and handled cloud app access requests in Entra ID.
• Rolled out new laptops and network gear with the IT team and kept the site's device inventory current.
• Kept access to shared drives current and removed old accounts when people left.

• Built a small AWS lab with public and private subnets to practice log collection and attack detection.
• Read captured traffic in Wireshark to spot port scans, odd logins, and other signs of trouble.
• Tested a sample web app with an intercepting proxy and wrote up the fixes for the developers.

• Run code, image, and dependency scans in the shared CI/CD pipeline and train teams to fix findings before merge, lifting code quality scores about 35%.
• Keep build and deploy jobs on a secrets vault with short-lived credentials and certificates, so no pipeline carries hard-coded keys.
• Own the TLS settings standard for internal services and align 75+ apps and servers to it.
• Script compliance and configuration checks in Python and Bash, saving about 240 hours of manual work per audit.
• Run threat modeling sessions with developers before major releases and track every fix in the team backlog.
• Run monitoring and alerting across pipeline and production services, cutting unplanned downtime by roughly a quarter.

• Rolled out multi-factor sign-in for 900+ admin and service accounts and retired shared logins.
• Operated the internal certificate authority and certificate renewals for 700,000+ endpoints, built for high availability.
• Ran vulnerability scans across cloud and on-prem assets and wrote 80+ remediation tickets with owners and due dates, cutting projected annual loss exposure by $65K+.
• Wrote Terraform baselines for new AWS and Azure accounts with logging, encryption, and least-privilege roles on by default.
• Removed unused cloud admin access and set up service account password rotation, cutting account-related audit findings by 75%+.
• Brought in an outside attack surface scanning, threat intelligence, and secure DNS service, saving $75K+ a year.

• Cut mean time to detect security events by nearly a third by adding missing log sources and alert rules to the SIEM.
• Worked 280+ alert and incident tickets in a 24/7 on-call rotation, wrote up each incident, and cut the open backlog by about 80%.
• Kept a shared view of open alerts and control gaps, and sent leaders a short compliance summary each month.
• Coordinated handling of 11,000+ security and IT incidents a year with the service desk and outside providers.

• Owned a Python preprocessing job that fed the feature store with 4M+ records a day for training and offline tests.
• Built an agent-style RAG workflow that drafts lesson video scripts from set templates, raising template adherence by 40%.
• Packaged ETL steps as serverless functions reading from S3, cutting end-to-end data delay for live model inference by about 80%.
• Applied distillation and quantization to shrink transformer models so they served results faster.
• Reworked the GPU setup behind batch media generation so jobs finish about 9x faster.

• Rewrote graph feature code on a compiled graph library, cutting feature run time by about 60%.
• Designed a hashing method for spotting outliers across mixed data types that ran up to 8x faster in benchmarks.
• Designed and prototyped large-scale data processing parts for lab research, which made end-to-end ML pipelines 30% faster.
• Containerized feature extraction and training runs with Docker and compared new methods to classic scikit-learn baselines with k-fold cross validation.
• Trained CNN image models in TensorFlow for a lab vision pipeline that picks out 800+ object types at about 80% precision.

• Moved a slow, blocking cleanup step into an async background command, saving developers up to 25 minutes of waiting per run.
• Refactored an older PHP API into a cleaner MVC layout and added error handling to every endpoint.
• Prototyped a few LLM-powered helper features with Hugging Face models for internal teams, cutting response latency by 40%.

• GPA 3.5+

• Lead three teams across backend services, data pipelines, and web clients, including a pipeline that processes 280M+ events a day.
• Run the platform roadmap with product leaders, adding $3.5M+ in new annual recurring revenue.
• Moved a slow monolith to event-driven services on Kafka, cutting data load time by 65%.
• Coach 11 direct reports toward senior and staff promotions with clear growth plans and regular feedback.
• Cut on-call pages by 35% with better alerts, runbooks, and shared dashboards.
• Set the roadmap for shared SDKs built into several client apps and used by 60M+ monthly users.

• Built a shared UI component layer for 5 mobile and web apps, so new features rolled out 45% faster.
• Added automated test gates and a steady agile planning rhythm, raising sprint completion by 15%.
• Moved core services onto Kubernetes with Terraform deploy pipelines and a self-scaling provisioning service, cutting server spend by 30%.
• Added service metrics and on-call runbooks that cut mean time to recover by 15%.
• Rebuilt saved-search alerts with new metrics and tracing, cutting support bug reports by 70%.
• Ran quarterly planning with design and product and used A/B tests to decide what to build next.

• Built Android and iOS features for a shopping app with 150K+ users, and set up CI/CD for faster releases.
• Reworked slow, compute-heavy page queries, cutting web response times by 45%.
• Moved cart and account pages to an API-driven single-page app with a small full-stack team, raising capacity by 750%.
• Rebuilt the bulk order export to handle 80K+ records per run in half the time.

• Built backend services and data feeds for a growing web product and pitched in on the mobile apps.
• Slimmed down an aging backend, removing 160K+ lines of dead code and speeding up key API calls.

• Ran discovery workshops with CIOs, engineers, and business leads and turned them into target designs, including a commerce and payments build that grew one client's online revenue about 80x in two years.
• Moved 40+ client applications to AWS on multi-account landing zones with guardrails, saving clients $25M+ a year on infrastructure.
• Wrote a small API service that lets teams request private network links on their own instead of filing tickets.
• Led architecture reviews of 30+ customer workloads, each ending with clear fixes for cost, security, and uptime.
• Built a shared set of demo setups and sample code that cut demo prep time for the presales team by 60%.

• Planned the split of a legacy monolith into services on Google Cloud, which cut unplanned downtime by 65% and made room for 8,000 more users at once.
• Designed multi-region infrastructure with failover and smart routing, all kept as code in Terraform.
• Partnered with account teams to scope custom integrations, which helped raise average deal size by 120%.
• Reworked the quoting process for custom integration deals, cutting quote turnaround by about two thirds.
• Ran hands-on architecture workshops for 250+ partner engineers.
• Built demos and proofs of concept for bank and credit union buyers that won $450K+ in new contract value.

• Built monitoring and alerting for test and production systems with Python and open-source tools.
• Studied load test results to right-size servers, trimming operating costs by 40%.
• Ran container clusters and serverless functions for internal apps.
• Ran and patched the Linux web stack behind busy customer-facing sites.

• Lead the technical side of new-business deals worth up to $140K in ARR, with proof-of-concept plans that set clear exit criteria.
• Flag technical risk early in each deal and set evaluation plans tied to business goals, cutting stalled deals by 25%.
• Run a shared request queue for solutions engineers across regions, so 55% more open deals get technical cover.
• Answer security, compliance, and architecture questions in RFPs and design reviews for large buyers.
• Built small generative AI prototypes tailored to 5 strategic accounts.
• Run demos and proofs of concept that helped the go-to-market team reach 160% of quota.

• Served as lead engineer on strategic accounts with $8M+ in open pipeline, and flagged a $5M yearly revenue gap in pipeline plans to senior leaders.
• Ran discovery and shaped the solution for large enterprise buyers, helping the team reach 140% of quota.
• Gave talks at industry events and built repeatable demo setups for IT and operations leaders, helping lift early-stage pipeline by 150% year over year.
• Coached newer engineers on presentations and demo flow, shortening the average sales cycle by 25 days.
• Wrote trial guides and sales playbooks that got new hires productive sooner and cut some deal timelines by 60%.
• Guided the technical work as lead consultant on deals that added $2.5M+ in new recurring revenue.

• Led technical setup for new customers and built integrations that linked 15 core systems, cutting go-live time.
• Worked with partner vendors on joint offers that grew influenced pipeline by 25% and raised win rates on bundled deals.
• Made training videos, live sessions, and guides so customer teams could run the product on their own.
• Backed partner teams with demos, ROI cases, and RFP answers that added $2.2M+ in revenue, as regional partner business grew 600%.

• Set company-wide code review and quality standards that saved 180+ developer hours a month.
• Build technology roadmaps and target-state designs that guide cloud adoption on AWS and Azure across several business units.
• Led an application portfolio review that retired overlapping platforms, cutting operating costs by $3.5M and lifting yearly profit by $7M+.
• Led a $1.8M data and AI transformation program for 2.3M+ end users that created $14M in added value.
• Advise C-suite leaders on matching technology spend to growth and risk goals, and lead platform teams that support 300+ developers.
• Set up a data governance and reference architecture practice that teams across the company reuse.

• Designed cloud data platforms on AWS and Azure with security and governance built in, cutting data processing time by 50%.
• Moved aging on-premise warehouses to cloud platforms and set access rules by role for each team.
• Built dimensional models and enterprise data warehouses that sped up forecasting and shortened reporting cycles.
• Moved 80+ machine learning models onto real-time scoring pipelines with automated tests and release steps, cutting processing latency by 45%.
• Coached a mixed team of engineers and analysts, set up peer code reviews, and added automated tests that caught 70% of critical bugs before QA.
• Reworked the data layer behind busy platforms with 800K+ daily users, raising data retrieval speed by 700%.

• Delivered enterprise platform builds worth several million dollars each, including commerce sites that lifted client revenue by 250%.
• Designed APIs and integration patterns that linked on-premise systems and 60+ third-party services with the cloud.
• Set up code quality and performance monitoring for client applications that cut critical bugs by 60%.
• Redesigned an online payment gateway to meet card-security rules, adding $2.2M a year in customer value.
• Wrote architecture standards and blueprints that shortened design cycles and made delivery more consistent.

• Built a multi-agent coding and review loop that cut the time to ship each feature by 65%.
• Built a retrieval-augmented answer service with hybrid keyword and vector search plus a reranker, lifting precision on a labeled question set from 60% to 75%.
• Built a graph-based retrieval system whose ingestion step makes no LLM calls, about 15x cheaper to ingest than standard graph RAG.
• Added tracing, dashboards, and alerts to every agent run, which cut post-release regressions by 55%.
• Parallelized training data loading and prep in Python, making that step 2.5x faster.
• Prototyped LLM features with product teams and moved the ones that worked into production.

• Put a recommendation system into production and built the feature tables behind it.
• Wrote scikit-learn helpers that cut the hand work in client data prep and model setup by 70%.
• Tuned Spark jobs and cluster sizes on Databricks, cutting run times by 40% and compute spend by 15%.
• Built a simulation engine on AWS that modeled operations across 250+ cities, plus map-based SQL dashboards for operations data that raised user engagement by 25%.
• Built a lookup step that follows cross-references between linked documents, lifting recall on those queries by 25%.

• Sped up competitor price extraction from about 4 seconds to 250 ms per item, feeding a pricing model.
• Built OCR and entity-extraction steps for a document intake pipeline.
• Set up self-serve data products that other teams could publish and reuse, cutting change lead times by 45%.
• Shortened CI/CD feedback loops and release waits by 75%+ and gave 12+ data scientists ready-to-run container setups.

• Built REST APIs and Spring Boot services for lending and card teams, including a rate limiter that kept peak traffic within service limits.
• Added request IDs, structured logs, input checks, and clear error handling to payment services so support can follow any failed call from end to end.
• Wrote JUnit unit and integration tests for back-end code so releases shipped with fewer surprises.
• Gathered requirements from a dozen people across business, operations, and offshore development before each feature was built, lifting fit with project goals by about 30%.
• Broke 15+ legacy services into small Java microservices and trained the teams taking them over, without missing a date.

• Moved a group of services from company data centers to AWS, cutting running costs by 35%.
• Moved 25,000+ business customers onto a new subscription system with no downtime.
• Built Spring Boot services that publish and read events through Apache Kafka.
• Cut bug reports on a core platform by 15% through tighter design reviews and tests.
• Added token-based sign-in and role checks to internal APIs so only the right teams could call them.

• Moved 25,000+ shared support documents to cloud storage and set up access by team.
• Answered post-install questions and wrote the fixes into a shared guide, cutting support questions by about a quarter.
• Kept internal scripts and small tools in Git with code review.

• Built storefront pages in Next.js and React with server rendering and edge caching, cutting repeat network calls by 35% so product pages stay quick during sale traffic.
• Built 4+ React components for a new paid add-on step in checkout.
• Wrote REST endpoints for an internal content tool and trimmed the slowest queries behind it, so its data loads 35% faster.
• Profiled slow pages and trimmed heavy scripts, bringing server response times down by 20%.
• Used page analytics and search data to rework 100 weak landing pages with designers, and reviewed pull requests before new components shipped.

• Fixed 40+ hard accessibility defects in menus, modals, and forms, checked each with Axe and a screen reader, and folded the fixes into a shared React component library.
• Set up unit and end-to-end tests with Jest and Cypress, cutting bugs that slipped past release by 25%.
• Cleaned up headings, links, and copy on the main landing pages so search engines could read them, lifting total visitors by 55%.
• Refactored shared front-end code into reusable modules and cut duplicated logic by 35%.
• Built accessible record and scheduling screens for a healthcare product used by 7,000+ care agencies.

• Moved 400+ product and help pages into a new CMS, fixed them to WCAG AA along the way, and cut automated accessibility errors by 65%.
• Designed the SQL tables behind a busy internal web app and tuned the slowest queries so lookups ran about a third faster.
• Added 70+ role-based permission checks to account pages so each customer saw only their own data.
• Ran weekly site checks for speed, security patches, and broken links, and fixed 40,000+ accessibility issues flagged by automated scans.
• Upgraded the help-site chat bot with senior engineers, lifting satisfaction ratings by 50% across 800+ user reviews.

• Own the Playwright and API automation program for the bill pay platform: 3,500+ automated tests across 25+ services, from checkout to refunds.
• Cut full regression runs from 5 days to about 2.5 hours by automating the riskiest payment and onboarding scenarios.
• Build SQL and API checks that confirm each payment posts to the right ledger, saving 10+ hours of manual testing per release.
• Write and keep up 350+ test cases in Jira and Xray for new billing features.
• Lead a team of four automation engineers: set goals, review their test code, hold regular 1:1s, and run hiring interviews (60+ so far).
• Sign off on each release with product and engineering, ranking test work by payment risk so the riskiest changes get the most coverage.

• Moved UI tests to a container grid that ran 30+ browsers at once, cutting nightly run time and cloud costs.
• Taught 20 manual testers to write and run their own automated checks through short lessons and paired work.
• Tested voice and messaging APIs end to end in Postman for telecom apps with 8M+ subscribers.
• Rebuilt the performance testing approach so runs finished about 15x faster on average while still simulating real traffic.
• Joined sprint planning and design reviews to flag risky changes early and shape clear acceptance criteria.

• Reviewed test plans and sample data with product owners before each sprint, raising the share of bugs caught before release by about 35%.
• Rewrote 25+ high-risk manual regression checks as Cypress tests that ran on every merge.
• Checked API responses and queried SQL tables after each build to confirm customer data saved the right way.
• Ran system, regression, and acceptance testing on each release and logged defects in Jira with clear steps, helping cut post-release issues by about 60%.

• Moved data center workloads and renegotiated vendor contracts, cutting $550K+ from data center network costs without a drop in service.
• Run routing across a large switched campus network with OSPF and BGP, plus SD-WAN links out to off-campus sites.
• Automated switch and firewall setup with Python scripts and config templates, cutting configuration time by about 55%.
• Keep logging and backup power running for network closets across 50+ buildings.
• Watch network and system alarms with the operations team and drive each escalated ticket to closure.

• Ran a network cost review and switched providers, cutting yearly operating costs by $1M+.
• Rolled out remote access VPN for 800+ employees and kept firewall rules lean through regular audits.
• Tracked down and fixed live network faults, cutting downtime incidents by 50%.
• Tracked mobile device and data plan costs across teams and shut off lines nobody used, saving $25K+ a year.
• Built Splunk dashboards that gave the team a live view of network health.

• Worked the IT service desk, handling 30+ calls and tickets a day across Windows and office app issues.
• Linked the two data centers over dark fiber and optical gear, raising bandwidth capacity by 280%+ for growing backup needs.
• Ran voice over IP service for 850+ lines and wrote network design docs that matched company standards.
• Set up laptops and accounts for 750+ users and handled access changes and password resets.

• Moved accounts, contacts, and open pipeline from 6 acquired companies into one org, mapping fields and cleaning records before each cutover.
• Locked down record access with a new role hierarchy and a private sharing default, then granted what each team needs through permission sets.
• Test each of Salesforce's 3 yearly releases in a sandbox first and roll out new features with short how-to guides for every team.
• Hold weekly planning sessions with sales enablement, cutting one-off change requests by 60%.
• Own a multi-year roadmap with strategy and sales leads for how teams use product data in the CRM, saving $2.5M+ a year.
• Cleared 40,000+ inactive, fake, or wrong records and set the rules that keep new ones out.

• Built flows that route and reassign opportunities and accounts by deal size, region, and recent activity.
• Rolled out new sales, service, and partner portal features that lifted user engagement 35%.
• Set up an automatic check that keeps CRM and finance totals within 2% of each other, so audit prep takes less time.
• Turned raw supplier product data into plain product records in the CRM, opening it up to 8,000+ users.
• Reworked links between Salesforce and outside systems so reps stopped entering the same deal data twice.

• Joined the team that chose a new CRM and moved the sales team onto it, with hands-on training that kept adoption climbing.
• Set lead routing rules with marketing ops so new leads reached the right rep faster.
• Planned CRM work with sales owners and cut project timelines by about 25%.
• Set up scheduled reports and email alerts so sales teams could see how their numbers were trending.

• Graduated with honors

• Rewrote a slow lab data-cleaning script to run batches in parallel on the campus cluster, cutting run time per file by about 35% across 15,000+ files.
• Fine-tuned and benchmarked two open-source language models on the lab's own datasets with GPU tuning, lifting accuracy by 65%.
• Wrote cleaning and validation steps so bad input rows get flagged before they reach the lab's results tables.
• Pair with graduate students to turn rough research ideas into tested code.

• Connected several internal tools through their APIs so account data moved between them without manual copy and paste.
• Tested and tuned prompts for an LLM-backed feature, tracking wrong answers in a shared sheet and fixing them before each release.
• Built an internal React dashboard so the team could see job status at a glance.
• Stood up Azure test VMs with scheduled backups for the team's staging work.

• Set up user accounts, group policies, and DNS entries on Windows Server for new hires.
• Handled a steady stream of walk-up and phone requests on busy days and logged each one in the ticket queue.
• Wrote short how-to guides for password resets and VPN setup.

• GPA 3.5+
• Dean's List

Full-stack app in React, Node.js, and PostgreSQL with sign-in, event sign-ups, and an admin view, deployed on AWS.

Python and Streamlit app that scrapes public stats, cleans them, and charts trends over time.

C++ merge sort split across threads, timed against the single-thread version on large inputs.

• Wrote the HTML, CSS, and JavaScript for the new WordPress site so pages load fast on phones.
• Reworked the online order and checkout flow with an outside agency, which raised completed orders.
• Built the CRM workflows and automated follow-ups behind web campaigns, lifting inbound leads by 70%.
• Turned design mockups into working page templates and sat with developers to shorten handoffs.

• Ran the counter and back room on busy shifts, trained new staff, and tightened prep routines that cut food waste by 20%.
• Juggled busy daily schedules and resources, setting clear priorities and keeping everyone in the loop.
• Staffed and ran shifts through a product launch that lifted sales by about 25% in its first month.
• Wrote a plain how-to guide for new hires that cut their training time by 25+ days.

Full-stack web app for a small bakery to take orders, track stock, and accept card payments, using PostgreSQL, Express, React, and Node.js.

• Designed the database tables and REST endpoints, keeping routes, logic, and data access in separate layers.
• Made the React screens work on any screen size and kept accessibility in view from the start.

Team project: a Ruby on Rails app on PostgreSQL that lets food bank volunteers find and claim open shifts, with event data pulled from a public API.

• Handled releases every two weeks through a CI pipeline for both the front and back end.
• Worked in a small team to ship desktop and mobile views, with REST API calls and shared version control in Git.
• Shipped a small working first version early, then added features in short cycles.

• Automate the review of dealer and listing data to flag high-risk accounts, so the listing quality team clears reviews 2.5x faster.
• Joined new data sources into the customer lifecycle tables and built personas from 12,000+ active shoppers, so marketing can target the points where people drop off.
• Run A/B tests on email and onsite offers that lifted conversion by 25%, and report the cost per added lead to the growth team.
• Wrote Python checks that stop bad loads from reaching dashboards and cut manual validation time by 50%.
• Wrote 120+ data tests and keep a shared metric glossary in dbt so finance, marketing, and product read the same numbers.

• Built a churn risk score for checking and savings customers that helped the retention team keep more accounts.
• Handled dozens of ad hoc data requests each quarter for lending and branch leads, each written up in plain language.
• Moved daily management reports onto scheduled SQL jobs, cutting prep time by 20%.
• Maintained 80+ Tableau dashboards for lending, sales, and service teams, and retired the ones nobody opened.
• Cleaned and joined 8M+ rows of account and transaction data with SQL and Python, catching mismatched records before month-end reporting.

• Prepare the recurring quality and volume reports that clinic leaders send to payers and state agencies, checking each figure against the source system before release.
• Reconcile monthly scheduling extracts against billing records, clearing 120+ mismatches for the revenue team.
• Built Tableau dashboards on no-show and late-cancel trends that department managers review in weekly huddles.
• Forecast weekly visit volume by clinic in Python so schedulers could plan front-desk coverage a month out.
• Answer ad hoc questions from nursing and finance with SQL against the clinical data warehouse and shared team workbooks.
• Keep a shared data dictionary of metric definitions so every department reads the same numbers the same way.

• Scripted the weekly pull of outage tickets in SQL and Python so the reporting team stopped copying data by hand.
• Ran regression checks on storm response times and wrote up the results as a short memo for field supervisors.
• Built a Power BI service request view, plus a one-page guide so non-technical supervisors could filter it on their own.
• Tightened the A/B testing workflow for the digital team, cutting test cycle time by 25%.

• Dean's List
• GPA 3.5+
• Coursework in regression, time series, database systems and data visualization

Personal project using public census and labor data.

• Fit a regression in Python on county rent and wage data to show which factors track most closely with housing cost burden.
• Joined census tables in SQL and compared counties side by side to find where rent growth outpaced wages.
• Published an interactive Tableau Public story with filters by county and year.

• Set up event tracking with product engineers for a new customer portal that launched to 6,000+ clients.
• Settled on 6 headline measures with the product team and set up views that took about 5 hours of hand-made reports off each week.
• Moved a manual review queue onto LLM-based checks written in Python, making reviews 2.5x faster.
• Built a reusable Looker dashboard template that 80+ client groups adopted, lifting client satisfaction by 25%.
• Keep Python analysis code in shared Git repositories so teammates can review and rerun each other's work.
• Run sprint reviews for the analytics team and use request data to rank the backlog, which has lifted delivery speed by 25%.

• Wrote PL/SQL routines that fixed bulk record errors by rule instead of by hand, cutting manual updates by about a third.
• Built self-serve dashboards for recurring questions that cut ad hoc analysis work by 35%.
• Grew the dbt layer to 75+ models and added tests and alerts so broken metrics surfaced before reports went out.
• Joined weekly reviews with sales and finance leads, bringing a short list of metric changes and what drove them.
• Built Power BI reports that turned demand forecasts into reorder suggestions for branch managers.

• Built customer personas from 350K+ browsing sessions and behavior data on 12,000+ active customers so marketing could tailor offers to each group.
• Sorted and studied deal and order data with pandas so merchant managers could see where demand was heading.
• Ran SQL and dashboard workshops for 25+ coworkers so more of them could answer their own questions.
• Presented trend findings to managers and non-technical staff in short, plain decks.

• Ran Kafka streaming jobs that handled 12M+ customer events a day so analysts saw activity as it happened.
• Set up one common path from Kafka into Delta tables for 40+ event feeds.
• Shifted marketing pipelines off Snowflake onto a Databricks framework that rolls 80+ customer metrics into one view.
• Pulled dbt run results into one alert view and set a shared on-call triage routine for the data team, cutting unresolved alerts by about 70%.
• Rebuilt the heaviest dbt models to run incrementally, cutting warehouse compute spend by $170K+ a year.
• Scaled the analytics warehouse to serve 120+ people querying at the same time.

• Built a lakehouse for 12 TB of patient data, with lineage tracking and quality rules so analysts caught bad loads before reports went out.
• Joined a cost push for streaming jobs that cut streaming compute cost by 65% while holding latency targets.
• Traced faults in a multi-system CRM sync, cutting API calls by 550K+ a day and avoiding $160K a year in platform upgrade costs.
• Rebuilt slow hospital operations tables as event-driven tables, cutting data delay from several hours to about 35 minutes.
• Set up row-level security in the SQL reporting warehouse so hospital, finance, and planning teams each saw only their own data.
• Added alerts and monitoring to the claims and scheduling loads, cutting the time to resolve a failed load by about 2.5 hours.

• Built PySpark ingestion jobs that load about 6 TB of loan servicing data a day, with a quality check at each step.
• Automated vendor file pickups with Azure Logic Apps and Data Factory, replacing manual uploads.
• Wrote the team's first data dictionary for deposit and loan tables, which new analysts used to get up to speed.
• Built dashboards that 60+ risk and finance staff use to track loan and deposit trends.

• Study abroad semester

• Shipped a retrieval-based chat assistant with the support team that answers routine customer questions, cutting support workload by 50%.
• Rebuilt in-app event tracking for 120 key behaviors and ran cohort studies that traced the drivers behind a 10% lift in user retention.
• Built an analytics suite now used across 25,000+ customer licenses, cutting analysis time for client teams by 45%.
• Run A/B tests and quasi-experiments on product changes and turn the results into clear calls on what to build next.
• Set up quality checks on messy event feeds from several systems so fewer bad records reach the warehouse.

• Shaped the data science plan behind a growth push that lifted new customer sign-ups by 35% across a base of 16,000+ customers.
• Rebuilt self-serve reporting across 80+ Looker dashboards so teams stopped filing routine data asks, saving about $120K a quarter in analyst time.
• Wrote Bayesian forecasting code in Python and R that raised prediction accuracy by 35% on noisy, fast-moving data.
• Built a monthly sign-up forecast that now drives staffing and budget calls.
• Coached a team of 8 junior analysts on data collection methods and sound research practice.

• Used clustering and trend analysis on regional market data to back grant proposals that funded support programs for 900+ small firms.
• Automated scoring of pilot project proposals in Python, cutting review time by 70% so the team could review 2.5x as many each year.
• Answered 25+ ad hoc data requests a quarter from campus offices, turning SQL pulls into short written answers.
• Ran short training sessions on stats basics and dashboard use for staff.

• Forecast hourly electric load for regional substations from time-series baselines, then retuned the loss function, lifting forecast accuracy by about 15 points.
• Screened 40M+ rows of meter and load history for gaps, duplicates, and drift before each retrain.
• Parallelized feature prep in Python so model data refreshes run about 8x faster.
• Built and ran SQL-backed cost and schedule dashboards for the grid upgrade, saving about 10 hours of report work a week.
• Added automated tests to the release pipeline for new models so broken builds stopped before production.

• Profiled the lab's training pipeline and removed repeated data loads, so experiments ran 35% faster.
• Ran dimensionality reduction and regression on about 1.5M wearable sensor readings for a faculty sleep study, then built network models that lifted signal decoding accuracy by about 25%.
• Built a Python segmentation pipeline that labeled 200K+ infrastructure objects in 3D scan data for a lab mapping project.
• Reworked an outlier detection method so it handled mixed data types and ran up to 12x faster in benchmarks.

• Cached and batched the data calls behind an internal pricing service, cutting response time by about 50%.
• Added a cancel option for long training jobs so abandoned runs stopped burning compute.
• Set up a review checklist for each model handoff so every result traced back to its data and code.

• Checked labels on product defect images for a vision classifier and sent mislabeled cases back, lifting detection accuracy by about 10%.
• Wrote a Python scraper for supplier price pages that fed a weekly cost dashboard, cutting about 3 days from the buyers' approval cycle.
• Wrote short notes on each cleaning step so the next analyst could rerun the work without asking.

• GPA 3.5+

Public-data study of wildfire smoke and emergency room visits across Pacific Northwest counties.

• Fit a Bayesian regression to daily air quality and county ER counts, then checked it against held-out years.
• Published the notebook with a short plain-language summary on GitHub.

Text classifier that sends customer emails to the right support queue.

• Fine-tuned a small transformer on public support tickets that beat a simple keyword baseline.
• Served it behind a simple API in a Docker container with a Streamlit demo page.

Churn model on a public subscription dataset.

• Reweighted the rare class in a churn classifier, lifting recall by 20+ points over the unweighted baseline.

• Joined scattered sales, operations, and finance tables into one shared warehouse layer, cutting report build time by about 55%.
• Build and test dbt models in Snowflake, with staging and mart layers that feed the executive dashboards.
• Wrote naming, alerting, and failure-handling rules for 35+ scheduled Airflow jobs, catching broken loads before reports refresh.
• Work with product managers to set success measures for features in a product line with $75M+ in annual revenue, and track them in self-serve Tableau views.
• Maintain 80+ self-serve dashboards that took routine data requests off the team, saving about $120K a quarter.
• Tuned the most expensive warehouse queries, saving $80K+ a year in compute.
• Run hands-on workshops that trained 75+ business users to build and share their own dashboards.

• Built a reconciliation dashboard for finance that replaced $250K a year in outside consulting.
• Set up and tracked 170+ KPIs with named owners and targets for dealer, parts, and finance teams.
• Refactored slow legacy pipeline jobs and cut their run time by 25%, so reports landed sooner.
• Moved managers off emailed spreadsheets onto self-serve dashboards, cutting ad-hoc report requests by about half.
• Added 70+ automated tests to the reporting layer so bad joins and broken metric logic were caught before release.
• Built the data models and dashboards that tracked an $80M+ move of cloud resources to a new provider.

• Ran regression on plan sales to find which lines were growing and fed the results into sales targets.
• Automated customer survey reporting so satisfaction scores posted on their own, cutting the hand work by 60%.
• Wrote SQL and Python scripts that grouped members by behavior, so outreach teams could match offers to each group.
• Worked with engineers to add event tracking to a new member portal that launched to 6,500+ users, so usage could be measured from day one.

• Lead consumer research for a portfolio of home brands across 6 categories, from early concepts through post-launch tracking.
• Combine syndicated sales data with in-house surveys to show where the portfolio should grow or pull back, then run working sessions with marketing and finance on the choices.
• Tighten the scope of each vendor study and renegotiate terms, trimming research costs by about 20%.
• Built concept test norms and a faster ad feedback method that cut concept test turnaround by 35%.
• Ran desk research on market and policy shifts and built a prospect list that told sales which buyer groups to call first.
• Turn sales, competitor, and shopper data into product plans, including one that lifted category sales by 70%+.

• Ran in-home product trials, online communities, ad tests, and brand tracking, and grew the research panel by 45% with 80,000+ customers opting in during the first month of in-app sign-up.
• Led a study with marketing and sales on a new product that was missing its targets and gave them a short list of fixes.
• Brought design thinking steps into new product work so ideas went in front of real buyers earlier.
• Set up a research operations function for 80+ researchers, with shared recruiting tools, onboarding kits, and vendor spend tracking.
• Shaped a campaign and content plan for business buyers that brought in 4x as many leads.
• Built Power BI dashboards that put sales and survey results on one page for the leadership team.

• Wrote surveys in Qualtrics, analyzed them in SPSS, and built reports for client satisfaction and loyalty studies that lifted client NPS by up to 9 points.
• Pulled sales, competitor, and market data into reports that answered client questions about where and how to launch.
• Automated recurring data pulls and report builds, saving about 6 hours a month and getting reports out sooner.
• Checked how agency clients showed up online across up to 6 channels and flagged gaps.
• Moderated focus groups and in-depth interviews and turned the notes into clear themes.

• MBA student club officer

• Teach a history unit built on close reading of sources that lifted average assessment scores by 20%.
• Review attendance, grades, and family contact logs each month in shared sheets to decide which students need small-group time.
• Keep student records private and complete, and pull them into term reports that school leaders use for planning.
• Serve on the school planning team, boiling survey and test results down to a short list of goals staff can act on.

• Kept 40+ grant, safety, and policy files current for each site and ready for audit.
• Ran operations for after-school sites, including vendor contracts, supply orders, and policy checks.
• Turned program numbers into one-page updates and short slide decks for funders and school partners.
• Designed the participation surveys and term-end write-ups that tracked a hands-on project learning program across sites.

• Cleaned and joined public datasets in SQL and Excel, then built a Tableau dashboard with map views for a non-technical audience.
• Used Python to clean a large public dataset, run basic statistical tests, and write up the findings in plain language.

• Ran large simulation studies and reported each estimate with a clear error band so program leads could judge how far to trust it.
• Rewrote a slow single-thread analysis job as a parallel Python workflow that runs 8x faster.
• Ran a Python pipeline that sorts and labels 200K+ scanned site assets for engineering teams.
• Tuned the database tables and indexes behind the team's research data, cutting query time by about 25%.
• Led design reviews with partner research teams and turned loose questions into scoped technical plans.

• Built an image processing pipeline for job-site photos in layered modules, cutting processing lag by 25%.
• Split legacy code into reusable services with other teams, which cut downtime during releases.
• Wrote Python and SQL ETL jobs that fed live Power BI dashboards for project managers, cutting report prep by 10 hours a week.
• Added a machine learning layer to the project supply-chain cost forecast, making it about 15 points more reliable.

• Designed a modular Python tool that spots suspect records in large transaction datasets, with parallel runs that raised throughput by 50% and accuracy about 15% above the old rules.
• Ran the group's shared Linux compute cluster and scheduled jobs so long runs did not collide.
• Used statistical models to compare building energy options and found a double-digit cut in energy cost.

• GPA 3.5+

• Shipped personalized picks for returning customers; retention rose 18% within three months of launch.
• Built a test-and-learn rhythm on search and onboarding pages, with landing page redesigns and A/B tests that lifted lead generation by 50%.
• Set direction for a product group of 150+ engineers, designers, data scientists, and product managers.
• Own the quarterly roadmap and the metrics for customer acquisition and retention, and cut acquisition costs by $800K a year through search and onboarding fixes.

• Launched a free developer tier with plain docs and sample code that grew monthly active API accounts by about 20% month over month.
• Got 45%+ of internal product teams using shared developer tools by pairing each release with office hours and short guides.
• Wrote specs for SDKs and webhooks that let partners connect their billing and messaging systems without custom work.
• Partnered with security and compliance on access reviews and audit evidence for every platform release.
• Wrote the case and rollout plan for replacing a company-wide internal tool near end of life, with projected savings of $1.2M across five years.

• Led a redesign of the checkout and deal search flow that raised checkout conversion by 75%.
• Brought in a lean discovery loop (problem interviews, clickable prototype, small pilot) that cut time to market by more than a third.
• Coached associate product managers on specs and funnel data, on a marketplace team with a $1.7M yearly budget and 4M+ users.

• Run discovery workshops and 80+ interviews with customers and sales, then sort the roadmap against what they asked for and what the business needs.
• Own the features behind 35% of company revenue and the KPIs that track their use by 3,000+ small businesses.
• Rewrote seller sign-up pages with the content team, drawing more search visitors and cutting the bounce rate by 20%.
• Led the roadmap for a small-business conversion toolkit that lifted store conversion rates 1.5x.
• Shipped setup guides and sample code that cut developer onboarding time by 45%.
• Run sprint planning, stand-ups, and retros with engineering and design, which raised team velocity by 70%.

• Managed API and file-based links that brought 50+ retail partners onto the marketplace, adding €17M in partner revenue.
• Automated billing and payment adjustments with the payments provider, removing 80% of manual fixes and 40 hours a month of overhead.
• Chose outside vendors for add-on services, compared options, and negotiated prices that saved $80K.
• Shipped new features on a logistics data platform that lifted adoption by 30% and helped close a $200K contract at launch.
• Studied competing products and wrote 5 short feature briefs that fed roadmap changes.

• Mapped current workflows across 4 operations and compliance teams before a new system rollout that raised operations efficiency by 50%.
• Built Tableau dashboards that showed processing delays to client-facing teams so they could clear them sooner.
• Built an internal lead-tracking tool with sales operations that brought in 90+ new leads in its first 3 months.
• Wrote the business case for swapping out an expense tool used by 10,000+ employees, with projected savings of $1.2M across five years.

• Graduated with honors

• Owned the roadmap for invoicing and online payments that move $800M+ a year for small service businesses, and worked with sales and marketing to grow a $40M+ revenue stream.
• Rebuilt the mobile checkout with saved cards and digital wallets; 75% of repeat payers were using it by year end.
• Added identity checks to payment signup that raised payment activation by 20% and brought in $700K+ in revenue.
• Launched a free trial and paywall for premium features that grew that line to $4M ARR, and moved 8,000+ subscribers onto the new plans.
• Ran targeting tests with marketing on paid search and email that cut the cost to win each paying account by 50%.

• Rewrote the partner API docs and reworked how integrations pass data to partner tools, cutting partner support tickets by 60%.
• Reviewed the partner signup funnel each week and fixed the biggest drop-off steps first, lifting signup conversion by 400%.
• Won a large partner's buy-in for an API change that unlocked $3.5M in revenue in a single quarter.
• Set daily product metrics and a monthly read of 8,000+ customer and developer messages that shaped each sprint.
• Ran an early adopter group of 35+ customers, with feedback calls before each major launch.
• Coached 4 PMs on sizing impact before the team committed to a build.

• Redesigned the payment screens members complained about most, which raised completed payments on those screens by 35%.
• Owned the ad tools behind $300M+ in annual revenue.
• Rolled out a shared member account platform across web and mobile that reached 120M+ users.
• Pulled findings from 120+ member interviews into one view the team used to pick each quarter's bets.
• Taught a product group of 25 simple interview and ranking habits so roadmap debates turned on evidence.

• Launched a guided tour for new users, which raised use of the features it pointed to by 8%.
• Ran the product side of a partner launch that brought in $2.5M in net revenue.
• Led user acceptance testing with support and engineering, which cut defects found after release by 25%.
• Built weekly SQL reports on activation and usage for the product and finance teams.

• Graduated with honors

• Owned the backlog for a wholesale ordering portal and ran refinement sessions that turned stakeholder asks into prioritized, ready stories.
• Simplified product search on the ordering site, which serves 1.2 billion calls a year.
• Shipped new features based on usage data that grew the portal's active users 12x and its revenue 30% in a year.
• Led UAT with business users and kept a trace from every requirement to its test case.
• Built live BI dashboards that gave leaders current numbers during peak demand.
• Met weekly with sales enablement to agree on business needs, which cut off-cycle requests by about 40%.

• Wrote stories with clear acceptance tests for a data-driven recommendation feature and ran backlog grooming with engineering and data science.
• Reworked a slow manual entry process across 60+ sites with the operations team, saving $800K a year.
• Stepped in as Scrum Master for the team, setting sprint goals and running planning, reviews, and retros.
• Used story maps with design and engineering to cut a large rebuild down to a lean first release.
• Automated recurring reporting workflows for the business, cutting processing time by about 80%.

• Wrote 120+ proposals and RFP responses with the sales team, turning customer needs into clear requirements.
• Built a shared tracker for the operations team that lifted project throughput by about 30%.
• Set service levels and KPIs for new markets with the operations team as the business expanded.

• Graduated with honors

• Run planning, reviews, and retrospectives for several teams on a shared release train, with joint planning for each program increment.
• Coach teams on blocker ownership and sharper acceptance criteria, cutting sprint spillover by 25% and lifting delivery predictability from 55% to 75%.
• Brought testing into the sprint with unit tests, pairing, and continuous test runs, cutting bug turnaround time by about 60%.
• Built a flow report on cycle time, open blockers, and carryover that gave directors one view of release risk, raising stakeholder satisfaction by 35%.
• Led the agile rollout for a data and analytics group, lifting feature throughput by 250% and cutting cycle time by 45%.
• Moved the teams onto shared work boards and one workflow, raising their delivery rate by about 70%.

• Moved 5 product teams off waterfall and onto Scrum or Kanban in 15 months.
• Set up Jira boards and team working agreements so developers and testers knew who owned each handoff.
• Started a forum where nearly 20 scrum masters across the company traded retro formats and planning habits.
• Ran sprints for a new mobile app that drew 6,000+ downloads and 16,000+ transactions.
• Coached 10 other teams across the product group on estimation, flow, and steady sprint habits.

• Coordinated test cycles and release checklists for a dozen developers and testers on web and mobile launches.
• Created simple team health measures that showed where work stalled and later shaped formal agile coaching.
• Covered stand-ups and retros as backup scrum master for a team of 8.
• Pushed for automated build and release checks that raised release frequency by 240%+.

• Run weekly decision reviews with 25+ business, data science, and engineering leads from several orgs.
• Got executive sponsors behind a disaster recovery program and settled who owned each part.
• Managed the dependencies for a monolith-to-microservices move that spanned many teams, speeding feature delivery by about 60%.
• Set quarterly goals with each team's engineering and product leads across a $60M program budget and track them on shared Jira boards.
• Run a data-driven budget tracking framework that keeps variance tight and saves $6M a year in costs.
• Built live delivery reports that flagged slipping work early enough to fix it, cutting program delays by 35%.

• Ran quarterly security reviews for critical services and automated the audit evidence behind them, cutting manual prep by 65%.
• Led service migrations to and from hosting partners that saved $4M a year.
• Set up release management across four engineering teams, which raised code quality and shortened time to market.
• Tied resource forecasts and team goals into one SQL-backed dashboard, and built a scheduling template that made plan builds about 40% faster.
• Led a service catalog program that pulled service details from several platforms into one place, cutting discovery time by about 55%.

• Ran an app migration to a newer Java framework with a mid-size engineering team, on time and on budget.
• Led a team of five technical account managers who handled installs, upgrades, and escalations for 55+ client accounts.
• Managed a website content system upgrade that cut support costs by $250K a year.

• Lead a portfolio of 25+ projects across several business units that is on track to save $90M+.
• Built a shared intake and scoring process so teams could see which requests got funded and why.
• Ran a budget review whose fixes saved $720K+ a year in program spend.
• Run regular risk reviews and agree on fallback plans with owners before dates slip.
• Set up a portfolio review that moved people and money to the right projects, saving $400K+ a year.
• Led an $800K operations review that found staffing changes and cost cuts for a large public-sector client.
• Run the program behind a customer learning community that has grown to 450,000+ members across many countries.

• Ran the program office for a product and operations group as its yearly budget grew to $55M+, with one plan and one budget view for all teams.
• Rolled out shared project tools and document standards so every team reported status the same way.
• Led a new product project that brought in $4.8M in revenue over three years.
• Led a pricing review with sales and finance and set clearer rules for custom quotes, cutting quote lead time by 65%.
• Led an agile rollout for a shared reporting portal used by 70+ team members.
• Managed and mentored nearly 20 program managers with written goals, lifting delivery results about 35% year over year.

• Kept plans, timelines, and deliverables on track for 15+ projects at a time.
• Interviewed front-line staff before each project and used what they said to set priorities.
• Rolled out a standard project template with stage gates and sign-off points, cutting cost overruns by about 10%.
• Ran a $1.2M+ workforce training portfolio with partners across many departments.
• Managed training grants within a $60M+ yearly grant and funding pool, with local partners and agencies.

• Mapped manual approval steps and helped move them into a shared online tool.
• Gathered business needs from users and wrote clear requirements for a $4.5M+ digital project.

• Ran stage-gate reviews for hardware and firmware releases with clear entry and exit criteria, which helped pull one product launch forward by 7 months.
• Reworked the build plan for a hardware line with manufacturing and sourcing leads, lifting production efficiency by about 250%.
• Set up rollout plans and cost reviews across a mixed project portfolio that saved $2.2M+ a year.
• Ran a security fix program with server owners that closed 2,500+ open findings, tracking each one to sign-off.
• Sent senior leaders a weekly read on risks, open issues, and spend so decisions landed on time.

• Rebuilt the onboarding plan for new business accounts with clearer guides and check-ins, lifting new-client engagement scores by 45%.
• Ran 15+ projects at once on shared staff, tracking every handoff in one plan and keeping spend inside budget.
• Redesigned the client intake process across 50+ branch offices, saving $800K+ a year.
• Audited account data in Tableau and sent the gaps to engineering as clear fix requests, lifting data accuracy by about 50%.
• Kept every project in line with SOX controls and company standards, with fewer audit exceptions each quarter.

• Ran 60+ planning sessions, reviews, and retros for two Scrum teams and kept the boards in Jira current.
• Explained technical updates in plain terms at weekly business reviews so owners could act without a second meeting.
• Coached 4 new coordinators as they moved into project roles.
• Cut manual steps from the online forms that 1.5M+ policyholders fill out, and kept the form library current.

• Graduated with honors

• Lead about 8 clinical and infrastructure projects at a time with a PMO group of two dozen, from charter through go-live and handoff to support.
• Upgraded infrastructure at a dozen clinical sites with little disruption to patient care.
• Set up a steering committee that ranks projects against company goals, lifting portfolio value by 20%.
• Set up an intake and scoring process that lifted how well the portfolio matched company goals by 55%.
• Get charters and statements of work signed off by executive sponsors, with compliance checks built in.
• Simplified approvals and handoffs across the portfolio, saving about $1.6M a year in operating costs.

• Merged duplicate accounts and desktop systems onto one setup, saving about $1.5M a year in IT costs.
• Used sprint retrospectives to fix quality gaps, cutting defects found after release by 12%.
• Held a regular status call with business owners, which lifted their satisfaction scores by 35%.
• Coached business users and engineers on the new project process, from intake to closeout, lifting buy-in for it by 60%.
• Set up a shared resource calendar so managers could see who was free, which made future schedules 55% more accurate.
• Ran 240+ system migrations with no critical downtime.

• Tightened how the team tracked schedules, budgets, and resources, which raised project efficiency by 25%.
• Wrote PMO guides and a standard status report and helped new project staff use them, which cut support escalations by 40%.
• Logged and tracked change requests across 55+ projects for the change board.
• Coordinated schedules, vendors, and status reports for a $20M ERP rollout.

• Lead delivery of hospital, clinic, and lab projects across a $160M+ portfolio, from early cost plans and buyout through commissioning and turnover.
• Bring about 75% of jobs in at or under budget through tight buyout and monthly cost reviews with each trade.
• Run BIM clash checks with a 15-person mechanical, electrical, and plumbing group and settle about 80% of conflicts on screen, not in the field.
• Lead field teams of up to 30 trade workers, foremen, and engineers, and sequence subcontractors through tight, busy sites.
• Cut the recordable incident rate by about 20% with weekly safety walks and trade-led pre-task plans.
• Report cost, schedule, and risk to owners each month and track RFIs, change orders, and pay applications in Procore, saving $800K+ during construction.

• Finished a $25M lab and office build in about a year, $350K under budget.
• Delivered a $22M office and lab fit-out within budget, running weekly owner, architect, and contractor meetings.
• Ran planning sessions with owners and design teams that found $1.8M in scope savings.
• Ran mechanical and electrical buyout on a large industrial job, cutting subcontract costs by about 25%.
• Cut critical-path delays by about 15% with weekly Primavera P6 lookaheads built with each trade foreman.
• Managed several commercial and public jobs at once, including school and government renovations with strict badge and access rules and a park renovation that stayed open to 600,000+ yearly visitors.
• Led more than a dozen project and field coordinators across jobs, and set up their daily reporting.

• Ran daily site work on production and custom homes, checking framing, trim, and finishes against plans and code before each inspection.
• Kept about 80% of homes on or ahead of schedule by lining up trade starts and material drops before each phase.
• Pulled permits across several towns for a $40M+ multi-site home build-out.
• Tightened pour and trade scheduling on a production home community, cutting foundation costs by about a third and build time by 40%.

• Set up KPIs for supply orders that raised on-time deliveries by 50%.
• Test and release yearly safety and quality courses in the learning system, in 15+ languages.
• Send department leaders a quarterly spend and revenue report for 10+ programs and flag any line running over budget.
• Own project budgets of up to $120K and close out expenses quickly once each project ends.

• Ran 250+ research projects a year from intake to final delivery, and sent clients updates before they had to ask.
• Planned 9 in-person training programs and events end to end, from venues and travel to catering, materials, and spend.
• Kept detailed schedules for each study so timelines matched what clients asked for.
• Automated version tracking for study documents, cutting processing time by more than 70%.

• Supported the plant's push to cut labor hours by 35% while keeping deliveries on time.
• Tracked down a repeat stock count mismatch and flagged part shortages to purchasing, saving about $40K a year.
• Set up start dates, training slots, and reminders for 500+ new hires a year, and tracked who finished.
• Built launch checklists and step-by-step plans for 35+ new training programs in one year.

• Run a year-round calendar of advising workshops, info sessions, and alumni panels that reach 900+ students and community partners.
• Rebuilt the student newsletter and event reminders, lifting engagement by about 25% and getting more students to each workshop.
• Work with outside career coaches to build a workshop series for first-generation and transfer students, and led one session for 400 high school seniors.
• Track the program budget in Excel and flag any overruns to the director.
• Hire, train, and schedule the student staff who run check-in and room setup at workshops of 120+ people.
• Negotiate 25+ venue, catering, and bus contracts for college events and move recurring events to lower-cost partners.
• Brought in $25K+ in gifts and grant money for student programs over six months.

• Planned 80+ events end to end, from venue and catering to day-of run sheets.
• Built ties with teachers, counselors, and youth groups that grew student sign-ups by 25%.
• Saved $55K+ on conference production by moving materials online, cutting print costs, and reworking sponsorships.
• Ran email and social outreach to 5,000 students, families, and volunteers from one shared contact list.
• Wrote the partner newsletter and kept the program pages on the website current.
• Ran a quarterly event series for students and business volunteers that drew 15,000+ attendees in total.

• Coordinated recruitment and scheduling for several research studies, enrolling 400+ participants across field sites.
• Kept consent forms, study files, and the team's shared inbox in order so audits went smoothly.
• Wrote step-by-step guides for clinic staff on study tools, which cut their help requests by 30%.
• Booked 250+ trips, rooms, and meals for study team meetings and partner visits.
• Took and sent notes after every team meeting so each action item had an owner and a date.

• Wrote motion and interaction specs engineers could build from directly, cutting drop-off on key screens by 35% in A/B tests, and added reduced-motion options for members who need them.
• Designed class scheduling and reminder flows for members on web and TV, lifting adoption of the feature by 55% and average class watch time by about 10%.
• Rebuilt checkout and membership screens as shared templates, cutting the effort to launch new screens by 30%, and the first launch on them hit 1.5x its expected conversion rate.
• Run member interviews and quick prototype tests, and share the findings in short readouts.
• Set up color, type, and spacing tokens and a component library with clear states and usage notes.

• Led web and mobile design for a new brand look and launch that lifted site visits by about 200% in the first week.
• Designed a self-serve order status hub for customers, projected to save $2.2M in support call costs.
• Designed in-store displays and app screens for new collections that helped lift sell-through by about 18%.
• Brought design projects in-house from outside contractors, saving $200K+.
• Ran research sessions and a 60-person survey with store teams and fed the findings into the roadmap.

• Graduated with honors

• Led the redesign of the main dashboard for service pros, shaped by user research.
• Redesigned the mobile app home screen with the recommendations team, raising the app's share of company revenue to about 40%.
• Work with 12+ engineers, analysts, and operations leads from discovery through launch, and keep a shared log of design decisions.
• Run moderated usability sessions on each release and tighten spacing, states, and copy until the spec is settled.
• Designed a new feature that nudges members to keep their profiles up to date, lifting profile updates by 80%.

• Set motion and state rules for every shared component and checked each one against accessibility standards, so hover, loading, and error states matched on web and mobile.
• Juggled several feature tracks at once in agile sprints, each on a tight deadline.
• Designed the core dashboard screens for one of the most data-heavy parts of the product.
• Ran surveys and short interviews with users before writing each new feature brief.
• Redesigned the business account opening flow through rounds of usability tests, taking openings from zero to 40+.

• Designed and launched the first version of a new service on the web and in the app.
• Acted as the link between product owners, developers, and the design team on each project.
• Built clickable prototypes and ran rounds of testing with students and teachers on the core paid flow, lifting engagement with it by more than 15%.
• Put together a simple brand kit, with logo use, type, and color, for that new product line.

• Coursework in UX, branding and interaction design

• Lead design for online account opening and everyday money flows on web and mobile, working inside agile product teams.
• Redesigned core account flows with simpler navigation and fewer steps, cutting the time users need for common tasks by 35%.
• Help 50+ engineering teams across the bank adopt the shared design system through training, office hours, and clear usage docs.
• Wrote a design style guide and built accessibility checks into every design review, cutting design inconsistencies across web and mobile screens by about 65%.
• Mentor junior designers and run design critiques that keep work moving between teams.

• Refreshed content and layouts on listing and checkout pages based on A/B test results, lifting customer engagement by about 50% and conversion by about 20%.
• Designed onboarding and saved-search dashboards for a mobile app with 80M+ users, testing each with shoppers before launch.
• Drew wireframes and journey maps in Figma for new app features and stayed with engineers through release.
• Set up a design review intake with clear feedback rounds, cutting review cycles by about 60%.
• Audited 250+ older UI components and rebuilt the most used ones as accessible, reusable patterns.

• Redesigned public web pages and sign-up flows for clearer navigation and search, lifting site traffic 250% and search visibility about 1,200%.
• Reworked 35+ mobile-first pages from research and site maps through prototypes and testing.
• Worked with product and research staff to study how service reps used internal tools and fed the findings into new releases.

• Ran email campaigns with sharper audience segments that widened market reach 35%.
• Made social and print pieces for product launches that lifted brand visibility about 150%, and kept brand use consistent across stores.

• Streamlined how studies move from findings to design work, cutting research-to-launch time by 45%.
• Ran rounds of usability tests with 60+ participants and worked through the fixes with design partners, lifting task success on customer screens by 50%.
• Built a research participant pool of 80+ customers and ran its recruiting, scheduling, and pay.
• Trained 5 designers to run their own unmoderated tests, raising test volume by 30% and user feedback collected by 40%.
• Led research behind a redesigned internal request workflow, cutting processing time from 4 days to about 4 minutes.

• Ran concept tests and surveys across 15,000+ data points that helped leaders choose between product directions.
• Built accessibility checks into research plans and worked with engineers on 35+ WCAG fixes.

• Analyzed survey data with regression to find the main drivers of customer complaints, pointing to fixes that lifted satisfaction scores by 30%.
• Reviewed client websites with in-depth user interviews and wrote up changes for client teams, lifting engagement by 35%.
• Set up an in-product survey that drew 800+ responses from live users and fed a recurring dashboard.
• Ran 4 workshops that trained 60+ client service staff on survey and usability basics.

• Lead a mixed team of designers, writers, and video and photo crews, setting clear standards and reviewing work at each stage.
• Run creative for national retail and subscription brands, presenting concepts to client leaders and steering a campaign that lifted sign-ups 28%.
• Manage $1.8M in production budgets for integrated campaigns across TV, social, and retail.
• Co-write and present integrated brand plans, including a $4M plan that won buy-in from client leaders and key distributors.
• Direct shoots and edits from pre-production through editing, so each campaign keeps one look in every channel.

• Led identity and packaging refreshes for consumer brands, writing copy and art-directing the design; one relaunch lifted sales 170% year over year.
• Mentored junior writers and art directors and ran weekly critiques that improved first drafts.
• Led launch campaigns for a new consumer product that sold 1.5M+ units in its first few months.
• Built a visual system for a consumer client's range of 350+ products that held together across packaging, print, web, and retail displays.
• Ran national campaigns and incentive programs for a consumer client that grew its customer database by 900%+ and brought in $350K+ in partner media value.

• Led the look of packaging and ads for big product ranges that changed every season.
• Art-directed in-store displays and sales-incentive kits that a consumer-goods client rolled out to 150+ distributors and their sales teams.
• Wrote and art-directed social content for an athletic apparel client, part of a campaign that lifted revenue about 35%.
• Designed event and in-store activation materials for programs that drew 120M+ brand impressions across 500+ events.

• Designed logos, packaging, and launch pieces for 160+ products in seasonal lines.
• Wrote and designed print and web pieces that supported seasonal sales pushes.

• Set the visual direction for launches across 170+ SKUs in packaging, store displays, paid social, and email, working with copy, product, and photo teams.
• Create and texture 120+ 3D product assets in Blender for site banners and short social loops.
• Run most design work in-house instead of through agencies and freelancers, saving $200K+.
• Keep print shops, video editors, and outside producers on one shared timeline for each launch.
• Maintain a 280+ file product image library for launch work and brand consistency.

• Designed animated, interactive iOS demos for the sales team that improved sales enablement by about 65%.
• Designed 15+ sales proposals a year for bank and credit union prospects, from cover to final page.
• Produced 25+ short promo videos and product trailers in After Effects and Premiere for releases and conferences.
• Designed infographics, leadership slides, and product sheets, lifting brand awareness by about 25%.
• Hired and directed freelance illustrators and photographers for campaign work, keeping every piece on brief.

• Designed brochures, rate sheets, and web pages in InDesign for customer campaigns, keeping 50+ pages on brand.
• Created artwork, signage, and video intros for 8+ training and customer events.
• Owned layouts from first concept through prepress and checked every file before print.
• Shot and edited short training videos in Premiere for new customer service staff.

• Covered a field territory of 75+ manufacturing and logistics customers and worked each deal from first site visit to renewal.
• Won $1.6M+ in new business from automotive plants by bringing technical know-how into every pitch.
• Brought in $800K in new business in the first year, winning a dozen new logos with a focused outreach plan to plant managers and buyers.
• Set up a weekly review of open deals with operations and finance that lifted forecast accuracy by about 15 points.
• Built account plans with sales engineers and service leads to close multi-site agreements worth up to $2.5M a year, averaging about $500K.

• Secured a $5M partnership with a national retail chain.
• Built a client book from zero into a $5.5M+ recurring revenue portfolio across multi-location clients.
• Kept client retention above 80% with regular business reviews and fast fixes for service issues.
• Added $2.8M a year from current clients through cross-sell, upsell, and new product launches.
• Finished 15%+ over quarterly quota by forecasting from monthly account trends.

• Ran 1,000+ discovery calls and product demos to small and mid-sized business buyers of hardware and software, beating monthly quota by up to 110% with outbound campaigns.
• Moved 80+ accounts from one-off orders to term agreements and kept each one on board through the switch.
• Used CRM data to plan coverage and segment buyers, growing active accounts about 18-fold.
• Opened a new territory by calling on integrators and repair shops, growing its sales about 550% over three years.

• Took a stalled delivery route to $3.2M in sales by adding restaurants, schools, and care homes.
• Opened 50+ new accounts through face-to-face visits and product presentations to buyers.

• Ask a few plain questions up front to match each shopper to the right gear, budget, and season.
• Averaged 140% of the monthly sales goal by calling back on special orders and keeping in touch with regulars.
• Settle returns and complaints at the counter by listening first, which helped lift customer retention by 8%.
• Host free gear clinics for local teams and clubs, reaching 400+ players and bringing new faces into the store.

• Made 70+ calls a day across a territory of 800+ small business owners and office managers to open and move deals for the account executives.
• Kept a book of 40+ small accounts warm with check-in calls and renewal reminders, lifting client retention by 35%.
• Ran targeted outreach to accountants and office managers from shared CRM lead stages, bringing in about $40K a month in new revenue.
• Wrote short follow-up emails for each call list, and about 1 in 5 cold contacts booked a call.
• Followed up on inbound trial sign-ups with personal check-ins, lifting monthly recurring revenue by about a sixth.

• Fixed 350+ device problems for customers, cutting their downtime by 20%.
• Tracked which plans and add-ons sold best and shared the list at team huddles, and business account sales rose 15%.
• Trained 6 new hires on follow-up habits and keeping customer records clean.

• Built a $4M+ pipeline in a new territory within the first few months and closed a full $1.2M ARR quota.
• Manage a $25M pipeline and a $16M ARR book across enterprise accounts, adding $6M in revenue growth.
• Set the plan for a multi-state territory and went after net-new logos.
• Work long, many-stakeholder sales cycles with compliance-minded buyers and shape each proposal to their rules.
• Finished at 140%+ of quota by adding net-new managed services for existing clients, including $1.3M in cross-sell deals.

• Grew a region's market share by about a fifth with a new sales plan and added fresh revenue in the first year.
• Qualified deals with MEDDIC and raised first-meeting-to-close conversion by about 15%.
• Wrote the team's playbook for big target accounts, raising early-stage conversion about 1.6x.
• Handled renewals and upsells for large global accounts and kept executive ties strong.
• Closed 220% of a $400K quota by running full cycles from first call to signature.

• Made 40+ outbound calls a day and kept a strong flow of new opportunities.
• Set up the CRM views and enablement tools the whole team used.
• Worked with marketing on events and outreach to build brand awareness in a new region.

• Turned around a team that had missed quota for months, coaching in the CRM against clear targets until it hit quota 25+ months in a row.
• Built onboarding for new account executives that cut ramp time by 25% and kept most new hires.
• Led entry into a new country through local distributors, then grew usage account by account, up 55% year over year.
• Set up outbound sequences and territory tools in Salesforce that turned more leads into meetings, and closed $6.5M in ARR in one fiscal year, well over quota.
• Beat the company average for new-business revenue by 300%+, bringing in about a quarter of all new business.

• Shortened the average deal cycle by 15% with tighter qualification, better discovery, and earlier executive contact.
• Moved the team upmarket with a new deal plan that raised average contract size and closed $4M+ in new contracts.
• Grew upsell and cross-sell through lifecycle campaigns run with customer success, adding $150K+ in expansion revenue.
• Won 9 accounts away from a long-entrenched vendor by building a simple path to switch.

• Closed 35+ net-new clients and reached 240% of quota, selling to senior buyers from first call to signature.
• Ran distributor relationships that widened market reach in the region.
• Wrote a short buyer guide that turned about 25% of readers into booked sales calls.

• Run the sales and service budget of $40M+ a year, finding $800K+ in yearly savings by reworking processes and renegotiating vendor deals.
• Reworked pricing and proposal writing, lifting yearly bid wins to 15 and bringing in $6M a year in new revenue.
• Led a sales push across several sites that signed up 120+ new clients in its first year.
• Rebuilt the sales program for an underperforming team, lifting sales by 500% and cutting customer complaints.
• Use cost and sales data to find waste, which cut operating costs by 20%, and aim training at the weak spots.
• Rewrote the supervisor pay plan so it rewards margin, not just volume, cutting attrition by 20%.

• Put every agent in the region on one shared CRM with pipeline views, which cut report prep time by 20%.
• Built a sales and training plan for a region that was losing money, lifting sales revenue by 80% in the first year.
• Opened a new region and built its first 200+ clients from zero through local networking and referrals.
• Led 350+ inside sales and service reps bringing in $16M a year, and set up call scorecards and regular reviews to lift service quality.
• Launched an in-house call center and sales development hub from scratch, $2.5M under budget.

• Ran 35+ sales and service staff across several agency offices and coached new hires through their first months.
• Owned the district P&L and protected margin through careful pricing and cost control.
• Gave short talks to local business groups and built the referral ties that took the agency from zero to 1,200+ clients.

• Prospected for new accounts by phone, email, and word of mouth, and carried each deal from first meeting through signed contract.
• Built and kept a $9M book of business accounts.

• Owned the technical win on six- and seven-figure subscription billing deals, leading discovery and tailored demos, and lifted close rate by 45%.
• Found product blockers and integration needs early on deals over $150K ARR, and built the steps that helped the company move up-market.
• Backed 35+ account executives across their sales cycles with advice on integrations, reporting, and deal strategy.
• Tightened the rules for every proof of concept, raising average deal size by 25%+, and built a new handoff to implementation that set clear customer expectations.
• Sized the revenue cost of feature gaps with product, found $700K+ in lost or at-risk ARR from one missing feature, and got it built.

• Partnered with top regional sales leaders on deals averaging $10M in ACV a year, covering demos and technical questions on live deals.
• Backed partner sellers with discovery help, demos, and ROI math for their RFP responses, adding $2.2M in revenue.
• Teamed with product and support on open technical issues at key accounts, which helped cut churn by 20%.
• Answered security reviews and SOC 2 questions for buyers in finance, healthcare, and tech.

• Ran custom demos for HR and operations leaders and helped the territory win about 5 new logos a year.
• Closed $600K in new ARR in one year by turning buyer needs into tailored solution designs.
• Beat quota by 40%+ on large enterprise deals and contributed to $14M+ in revenue, from discovery through proof of concept.

• Moved department servers to a hosted data center with downtime kept close to zero, and rolled out an automated payroll system that saves $400K a year.
• Built automated sales and inventory reports that gave business teams one trusted set of numbers.

• Make 60+ cold calls a day, backed by targeted emails, to open new small business accounts.
• Keep CRM records clean and current so account executives can trust the pipeline.
• Coach 5+ new SDRs through their first weeks with practice calls and feedback.
• Study each prospect's main problems before the first call, booking 20+ qualified meetings a month.

• Met or beat monthly quota in most months and sourced deals that account executives went on to close.
• Researched target accounts and wrote first-touch emails for 12 outbound campaigns, lifting prospect response rates about 20%.
• Booked 8+ qualified meetings a month, ran the discovery calls, and handed clean notes to account executives before each demo.
• Tracked every touch and follow-up on a busy lead pipeline in the CRM, which helped add $200K in revenue over the year.

• Called members about to cancel and moved them to better-fit plans, lifting retention about 25%.
• Signed up 6+ new members a month by phoning past members and fresh leads.
• Matched 80+ walk-in visitors a week to the right membership package by asking how they planned to use the club, lifting package sales about 30%.
• Called interested leads back on a set schedule until they made a decision.

• Make 240+ outbound calls a day to small-business owners, qualifying 15+ prospects daily for scheduling and payroll software.
• Beat sales targets by 30%+ by asking sharper discovery questions up front.
• Cut average first-reply time to new leads by 1.5 days with email templates and saved follow-up sequences.
• Log every touch in the CRM and keep prospect records current so pipeline reports stay accurate.

• Booked about 30 qualified meetings a month for account executives from a steady run of outbound calls.
• Explained technical setup in plain words to business owners who were not tech-minded.
• Trimmed data entry steps in the CRM, which freed time to reach 50+ more prospects.
• Ran discovery calls with 80+ business owners to match each one to the right payment setup.

• Grew counter sales by 30% by upselling and tailoring offers to each customer.
• Cut reservation cancellations by 35% by tightening scheduling and matching cars to what each customer needed.

• Sell subscription software to large industrial companies, bringing in $2.5M+ in new recurring revenue.
• Pull presales engineers and product experts into each new and renewal deal, on deals as large as $7M.
• Reached 230%+ of annual quota with a steady mix of new deals and expansions inside current accounts.
• Build the business case for each purchase with operations and finance leaders, with clients averaging about 15% gains in operational efficiency.
• Grew one customer from $20K to $1M in annual recurring revenue by tying the product to the client's goals.

• Mapped each client's other teams and sold add-ons to them, adding $150K+ in upsell revenue.
• Wrote win-back and new pipeline plans for a long list of named accounts.
• Won 15+ new enterprise logos through repeat meetings with senior buyers and grew a regional territory to $6M+ in annual revenue.
• Ran discovery calls with senior leaders before writing any proposal.
• Managed $10M+ a year in renewals across a set of large enterprise accounts.

• Worked with engineering and support to close open client issues, lifting NPS by 15 points.
• Covered a territory of 200+ enterprise accounts and booked $2.4M in software and first-year support revenue.
• Rebuilt pricing on key accounts and renegotiated supplier terms, raising profit about 25% and keeping clients renewing.
• Grew a set of accounts from $35K to $400K+ in annual sales by finding whitespace and acting on it.

• Run renewals and expansion across about 40 mid-market software accounts.
• Keep a rolling quarterly forecast with the success team and reach at-risk customers before they churn, saving $55K+ in ARR.
• Grow key accounts through multi-quarter growth plans that tie new seats to each customer's goals, adding €900K+ in revenue.
• Use product usage and account health scores to choose which customers get each quarter's cross-sell campaign, lifting multi-product adoption by 25%.
• Run quarterly reviews with finance and IT leads, opening $1.8M in add-on pipeline.

• Opened new regions for the product with data-backed targeting and simple account plans, growing territory revenue by 250%.
• Built return-on-investment cases with finance buyers that helped close 10+ multi-team expansion deals.
• Ran customer workshops on advanced features that lifted their adoption by about 20% in key accounts.
• Handed 30+ new customers to onboarding, each with a written plan and named owners on both sides.

• Brought in $260K of new business and $400K of expansion across a set of mid-sized accounts while running their onboarding and renewals.
• Grouped customers by how much they used the product and sent each group its own training path.
• Logged repeat complaints each quarter and worked with product on fixes that cut tickets on those issues by 50%.

• Own a $25M+ yearly book of enterprise advertisers and data partners, taking each deal from first pitch through terms, launch, and renewal.
• Closed a platform partnership worth $6.5M a year after a long round of terms talks.
• Rebuilt one large consumer brand's plan across CTV, audio, and display, which grew its yearly spend with us by 230%.
• Used notes from lost deals to rework how the team pitched late-stage buyers, lifting enterprise win rates by about 25% the next year.
• Pull in solutions engineers, legal, and finance early to close multi-year terms on six- to nine-month sales cycles.
• Reworked partner agreements worth $1B+ to add $12M a year in revenue and stronger rights terms.

• Managed 50+ brand and agency accounts across retail, travel, and consumer apps, with $600M+ in yearly ad spend.
• Kept 4 of every 5 clients each year by tightening audience and bid plans with each account every quarter.
• Built deal models and a standard rate card for reseller and marketplace partners, cutting contract drafting time by about 40%.
• Built a new mid-market book from zero to $3.2M+ a year.
• Signed new enterprise deals that added $3.5M+ in yearly revenue.

• Grew territory sales by 35% and added $1.5M in yearly recurring revenue by pairing digital video and search with broadcast buys for regional brands.
• Built yearly account plans with owners and marketing heads at regional brands, with deals of up to $2.2M a year averaging $450K.
• Trained new sellers on discovery, closing, and how to read campaign reports.
• Built P&L models for media deals so each rate talk started from a clear floor and margin.

• Researched markets and competitors to build pitch decks and pricing cases for the sales team.
• Qualified inbound leads and turned 1 in 5 outreach emails into a first meeting for senior sellers.
• Built Tableau and SQL dashboards so managers could track pipeline and spend by client.

• Closed $6.5M+ in annual recurring revenue at well over quota through outbound work and multi-threaded executive deals.
• Write pricing, scope, and market forecasts for large bids, helping win $3.5M+ in contracts.
• Set up an outbound plan that found new target accounts and lifted lead-to-meeting conversion by 30%.
• Sit in on finance's quarterly budget reviews to set deal limits, lifting deal approval rates by 65%.

• Signed 40+ new small and mid-size accounts at 250% of quota, owning each deal from first outreach through onboarding.
• Ran 12+ presales pursuits at once and kept each one on its milestones and budget.
• Closed distribution deals with reseller and marketplace partners whose new subscribers showed 55% retention.
• Filled the top of the funnel by working booths and meetups at industry shows, growing pipeline by 20% a year.
• Renegotiated content licensing terms with studios and networks, saving $35M+ a year and adding new rights.

• Served as main contact for key accounts and led root-cause reviews on client issues, cutting project delivery times by 30%.
• Used structured discovery and plain sales presentations to grow subscription sales 200% in a year, adding $650K in annual recurring revenue.
• Tracked terms for 65+ client contracts in one database, avoiding breaches and saving $15M+.
• Rolled out 35 products across key accounts, cutting their operating costs by about a third.

• Turned 60+ outbound calls a day into 20+ discovery meetings a month for the sales team.
• Researched target accounts by fit and timing, then wrote outreach that lifted reply rates by about 25%.
• Found and tracked 30+ new prospects a month and worked them through set email, phone, and social sequences, lifting qualified-lead conversion by 60%.
• Qualified leads on budget, need, and timing before handing them to closers.
• Built a 300+ account pipeline that lifted qualified leads by about 30% in three months, and kept the CRM current on every call and email.

• Owned a book of long-term home care clients, handling scheduling, billing questions, and insurance paperwork.
• Cut visit cancellations by 35% by fixing how client schedules were matched to a team of 50+ caregivers.
• Trained new coordinators on intake calls and price objections, shortening their ramp by about 20%.
• Kept clients longer through quick follow-up and personal service.

• Turned walk-in and inbound interest into signed contracts and add-on sales, averaging 130% of quota.
• Ran in-store events and product demos, guiding guests through sign-up on the spot.
• Held discovery talks with 130+ new clients to learn their needs and match them to the right service.

• Run business reviews and success plans with each account from kickoff to renewal, adding $3.5M+ in expansion ARR and surfacing $7.5M+ in upsell opportunities.
• Run discovery and demos for new partner accounts, closing $200K in new revenue, and cut the average sales cycle 30% with Salesforce lead tracking.
• Wrote an escalation playbook with support and product teams so urgent customer issues reach the right owner and get fixed faster.
• Run customer webinars and hands-on training sessions that drive product adoption and surface upsell leads.

• Planned outreach with partner sites and community groups, tracking 250+ prospects and every follow-up in a shared CRM.
• Negotiated vendor and training contracts and kept suppliers on schedule for recurring programs.
• Coordinated 20+ multi-site programs with teams spread across the region.
• Rolled out a new learning platform to 1,500+ staff through workshops and one-on-one coaching until it was in daily use.

• Supported servers and core network services for 120+ users.
• Tuned the office network and cut downtime incidents by 50%.

• Make 35+ outbound calls a shift to members and new leads, pitch upgrades and add-ons, and book the next meeting.
• Grew personal upgrade sales 80%+ year over year, to $12K+ a year, with sharper discovery questions and steady follow-up.
• Meet or beat sales quota while still covering a full service queue.
• Log each call, note, and next step in Salesforce so any rep can pick up a customer file without asking around.
• Set up a quicker way to qualify leads that cut review time per prospect by 20%.

• Handled 90+ patient calls and portal messages a day on scheduling, registration, and billing questions.
• Raised first-call resolution 15% by settling billing and scheduling problems without passing them to a supervisor.
• Checked insurance and contact details before each visit so the care team never started with a half-finished file.
• Rebuilt new-hire training around real call scenarios, which lifted trainee engagement 1.5x, cut training costs 40%, and got new hires on the phones sooner.

• Signed up families for youth sports and summer camps by phone, at the front desk, and at events, growing program sign-ups 35%.
• Tracked daily outreach and response rates and tuned the script, which made outreach 30% more effective.
• Ran sign-up drives at local schools and community events to reach families who had never used the centers.
• Wrote 18 short email and text campaigns that lifted reply rates from families by 20%.

• Find and qualify 12+ new leads each week by phone and email, and turn a share of them into signed work.
• Keep 4,000+ client records current in a CRM and follow up with personal outreach.
• Write proposals with scope, timeline, and price, and settle terms with customers and trade partners.
• Built a cold-calling routine that turned several local organizations into partners.

• Led the response to 120+ urgent incidents and coordinated joint operations with 160+ staff from several agencies, keeping safety and risk steps on track.
• Managed outside vendor partnerships, including service plans, progress checks, and budgets.
• Ran public events at sites across the city, and turnout rose by about a fifth.
• Briefed senior leaders with short slide decks that drove go or no-go calls.

• Filled a full roster of 18 in a single sign-up cycle through wide outreach and fast follow-up.
• Mentored new staff until each one could run the work alone.
• Built and ran a $25,000 yearly program budget and organized camps and fundraisers.
• Hired, coached, and checked the work of part-time staff so every session met the rules.

• Run 50+ quarterly business reviews that lead to upsell deals, lifting customer referral rates about 30%.
• Built a customer health score that flags quiet accounts early; engagement in the lowest tier rose 25%.
• Wrote onboarding playbooks and short video guides that cut time to go-live for new accounts by about 10%.
• Bring customer feature requests to product and engineering and close the loop once a fix ships, lifting feature adoption by new accounts about 50%.
• Serve as the technical point person for high-risk accounts, catching issues in the bug tracker before customers raise them.

• Ran renewal and growth plans for a book of 300+ mid-market accounts.
• Cross-trained the CSM team on each product area, which lifted customer satisfaction scores by 25%.
• Cut first-reply time by 65% on a team support queue of 600+ inquiries a month.
• Worked with customers across several industries to tighten how they handled recurring issues and risk.

• Led post-sale setup and training for new customers, from kickoff call through go-live.
• Standardized setup guides for 150+ support agents so new staff got up to speed faster.
• Resolved escalations by phone and email and flagged upsell openings to account managers, raising upsell opportunities by 10%.