Justin Li is a versatile backend-focused software engineer and UC Berkeley EECS + Business student with 14 years of coding experience and recent internships at Jane Street, Five Rings, and OpenAI. He contributes to high-profile open-source projects across Go and Ruby—improving graceful HTTP shutdowns, GraphQL correctness, Shopify's Liquid templating, and resilience tooling like Semian—demonstrating a knack for robust server behavior and parsing internals. Comfortable across systems and trading infrastructure, he blends low-level network and concurrency work with pragmatic test-driven improvements. Based in Berkeley, he pairs strong open-source impact with quantitative internship experience, and often surfaces subtle correctness fixes (e.g., ID handling and circuit-breaker checks) that prevent production surprises.
14 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science + Business Administration, 3.99/4.0, Bachelor's degree, Electrical Engineering and Computer Science + Business Administration, 3.99/4.0 at University of California, Berkeley
Liquid markup language. Safe, customer facing template language for flexible web apps.
Role in this project:
Back-end Developer
Contributions:25 reviews, 217 commits, 116 PRs in 6 years 5 months
Contributions summary:Justin primarily focused on refactoring and improving the `liquid` templating language. They introduced new tokens, fixed variable name handling, and ensured nil values were correctly handled in variable operations. They also addressed parsing quirks and improved the template's internal workings, as well as adding forloop features. These changes demonstrate a deep understanding of the language's internal structure and parsing logic.
Contributions:246 commits, 29 PRs, 51 pushes in 5 years 3 months
Contributions summary:Justin primarily contributed to the refactoring and cleanup of the Tx API within the chihaya BitTorrent tracker. Their work involved modifying the announce and redis storage components to improve the performance of the tracker. The contributions include method name refactoring, code cleanup and ensuring the appropriate operations are performed for different events. This refactoring also involved making changes to the internal storage API of the tracker.
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