Led front-end development for a suite of AI/ML evaluation tool spanning generative AI, computer vision, and object detection. Scaled a React-based scatter plot embeddings app to render 500K+ data points at 60 FPS using web workers and generator-based batching. Built a prompt engineering interface enabling streamlined dataset input and LLM execution, with real-time rendering of 25+ key metrics through asynchronous polling and interactive visualizations. Collaborated closely with design and backend teams to build performant, user-friendly UIs that support deep data analysis and insight generation.

Led development of a high-performance TypeScript/React charting application used by 7K+ users weekly, while mentoring junior engineers. Founded and led an internal Accessibility Guild to promote inclusive practices company-wide. Delivered major performance wins by optimizing Webpack, cutting build times by 50% and reducing asset size across 21 apps. Accelerated feature delivery by contributing reusable, tested components across multiple stacks including C#/.NET, React, and Vue.

Redesigned and implemented a reusable marketing landing page template used across 24 campaigns, integrating Google Analytics and ensuring WCAG-compliant accessibility. Reduced onboarding friction by building an internal documentation site with React and Gatsby, improving knowledge sharing and team productivity.

Developed a digital arts and technology curriculum for students in grades 9-12