Katie Hempenius is a seasoned front-end and full-stack software engineer based in New York with 12 years of experience building performant web experiences. She contributes to high-profile open-source projects—most notably Chrome Lighthouse and Angular—where she has implemented performance budgeting, resource-timing analytics, image lazy loading, and integrations with image CDNs like Cloudinary and Cloudflare. Her work spans both UX-facing enhancements and behind-the-scenes tooling, improving metrics such as CLS and LCP while also adding pragmatic features like budget.json parsing and fetch priority. Katie combines hands-on engineering with attention to web vitals and content strategies, evidenced by contributions to web.dev that blend UI improvements with performance-focused content. Reachable via katie.hempenius@gmail.com, she maintains a portfolio at katiehempenius.com that showcases a practical, metrics-driven approach to modern web development.
The frontend, backend, and content source code for web.dev
Role in this project:
Front-end Developer
Contributions:13 reviews, 130 commits, 99 PRs in 3 years 6 months
Contributions summary:Katie primarily focused on updating and adding content to the web.dev website. Their commits involved modifications to HTML templates, content files, and JavaScript files to enhance the user interface, improve performance, and incorporate new features, especially in the context of web vitals and patterns. Furthermore, the user was involved in refactoring existing components and integrating new design elements like carousels, and infinite scroll.
Automated auditing, performance metrics, and best practices for the web.
Role in this project:
Full-stack Developer
Contributions:19 commits, 35 PRs, 96 comments in 1 year
Contributions summary:Katie primarily worked on enhancing the Lighthouse performance auditing tool. Their contributions include adding features for budget management, specifically implementing a budget path and a parser for `budget.json` files. They also introduced new computed artifacts for resource summaries and timing budgets, including support for CLS and LCP metrics, further expanding the tool's analytical capabilities. The user also refactored code and improved the display of informative audits.
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