Austin, Texas Metropolitan Area
Developed exercise recording feature for computer vision exercises, enabling CV model
development teams to collect significantly more data from real world use cases, allowing for
faster iteration and fine tuning of ML models.
Deployed necessary AWS infrastructure via Terraform, implemented CI/CD pipelines, and
lead development of APIs for serverless microservice designed to allow the mobile
application to implement dynamic device capability detection, resulting in seamless
onboarding of new devices to the Computer Vision in-app experience and reducing
developer hours required to maintain previous device capability detection code
Implemented Datadog monitoring and alerting for team-owned services, defining thresholds
for availability, latency, and error rates allowing for early detection of production issues and
integrated alerts with PagerDuty to alert the correct on-call teams when necessary
Architected backend API solution, led development across multiple microservices, and
coordinated with stakeholders to deliver Computer Vision Movement Analysis feature,
allowing members and care teams to analyze and track member progress with exercises
over time
Planned development of new product feature set resulting in a 1% increase in exercise
therapy completion rates and enabling an increased level of user-driven personalization in
their exercise therapy
Created and executed development plan for migration of several features to new event-
driven progress tracking paradigm, maintaining feature parity and enabling faster iteration
on features that deliver a more personalized user experience
Investigated and implemented performance optimizations for critical API endpoints resulting
in 50% to 90% reduction in latency.
2020 — 2022
Portland, Oregon
Developed features and kicked off efforts involving migration of all user data to add more
levels to the app, resulting in 4.5% and 4.7% increase in user retention and engagement
respectively
Designed and developed new data models and features in our orchestration layer resulting
in launch of new participant programs and enabling internal stakeholders to have an
increased level of customizability of participants' exercise therapy
Led numerous app releases by cutting and patching release candidates, coordinating with
stakeholders, and ensuring timely delivery of app to iOS and Android app stores
2018 — 2020
Portland, Oregon Area
Developed API frontend in React for internal data movement platform allowing users to
register and manage data sources/sinks resulting in 1M+ messages sent using the
platform and increased data movement and observability across Nike
Developed full stack web application in React and Flask delivering a premium experience
to interview candidates and allowing them manage itinerary, travel, and navigation around
Nike campus
Developed features and addressed defects pertaining to the shop and buy experiences in backend services for Nike’s wholesale e-commerce website, nike.net
Automated processes for deploying and maintaining AWS namespaces for 100+ development teams across Nike
Created policies to enforce cloud compliance/tagging standards for AWS resources
Managed deployment and maintenance of cloud compliance software
Provided AWS and CI/CD pipeline support for various teams across Nike
Champaign, Illinois
Provide technology support for users working in the College of Education building and
taking online classes
Resolve technology related issues for users in the college
Teach users how to setup and use classroom technology for presentations, conference
calls, etc.
2017 — 2017
Portland, Oregon Area
Performed analysis and integration of Nike’s vulnerability data collected by Attack
Surface Management team
Conducted a penetration test and created report of findings for internal website containing
news updates about the company.
Developed front end of code submission/grading web application used to train developers
on best security practices
Education
2014 — 2018
University of Illinois Urbana-Champaign
Bachelor of Science (B.S.)
2014 — 2018