Designed scalable frontend architecture and data-fetching layer integrating with Sleeper API

Built supporting backend services in Python and deployed infrastructure on GCP

Automated roster analysis and lineup optimization for 1,000+ weekly users during NFL season

Reduced manual team review time by 30x through system automation

Built reusable component system

Designed responsive UI for desktop + mobile

Owned frontend architecture for participant operations and consent workflows supporting large-scale clinical research programs

Designed and built complex, state-heavy React + TypeScript interfaces handling compliance-sensitive healthcare data via FHIR APIs

Established frontend patterns for state management, component structure, and data fetching strategies adopted across multiple teams

Led frontend performance initiative introducing data prefetching and server-side filtering, improving dashboard responsiveness and perceived load times by 90%

Drove accessibility improvements to meet WCAG standards across study interfaces

Mentored junior engineers, conducted code reviews, and influenced frontend best practices across teams

Spearheaded cross-team integration testing overhaul, increasing release confidence and reducing production regressions

Partnered closely with product, design, and legal to translate regulatory requirements into intuitive, scalable user experiences

Built greenfield services using React, Go, and GCP infrastructure

Utilized Typescript and Angular to improve workflows, quality of life, and overall efficiency for operators

Connected tabular display to backend with service calls, complete with obtaining, editing, and saving

Application utilized for large scale testing across various configurations and environments