Eric Bidelman is a Principal Engineer with 15+ years building web products and platforms used by millions, now making Robinhood "Legend" after leadership roles at Yahoo, Lyft, and a long tenure at Google. He combines hands-on front-end craftsmanship—contributions to landmark projects like html5rocks, web.dev, Polymer, and Puppeteer—with infrastructure and DevOps work such as running Lighthouse CI in Docker for automated audits. At Lyft and Yahoo he led large cross-functional organizations, shaping design systems, developer experience, and platform migrations for high-traffic consumer surfaces. Eric is equally comfortable shipping CSS and custom elements as he is architecting CI/CD and cloud deployments, and he’s known for improving developer tooling and site build processes. Based in Los Angeles and trained in electrical/computer engineering at the University of Michigan, he brings a rare mix of product-facing UI polish and deep platform-level engineering.
15 years of coding experience
18 years of employment as a software developer
BSE Electrical Engineering Computer Engineering, BSE Electrical Engineering Computer Engineering at University of Michigan
Contributions:1 review, 56 commits, 6 PRs in 1 year 2 months
Contributions summary:Eric primarily worked on enhancing the frontend and backend of the try-puppeteer project. They implemented UI improvements, added functionality to display results, and refined the user interface. The user also worked on backend code to improve error handling and the handling of files, including security considerations. Their work involved JavaScript, CSS, and modifications to the application's core functionality.
Use case-driven examples for using Puppeteer and headless chrome
Role in this project:
Full-stack Developer
Contributions:95 commits, 7 PRs, 64 pushes in 9 months
Contributions summary:Eric primarily contributed to examples demonstrating the use of Puppeteer, focusing on web automation and testing. Their work includes examples for code coverage measurement, launching Chrome with chrome-launcher, custom network throttling for Lighthouse audits, monitoring internet connection status, and verifying service worker caching. The user also developed examples for viewing page source and handling hash changes in single-page applications (SPAs).
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