Justin Lee
Applied AI at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJustin Lee is an applied AI engineer based in San Francisco with nine years of software experience spanning autonomous vehicles, ML research, and full-stack development. Currently at Meta building open-source LLM tooling, he previously led special projects at Ford focused on self-driving, operations ML, and large language models. He moves fluidly between research and product—authoring documentation and quickstarts for notable open-source projects like llama-stack while also training reinforcement-learned racecars on AWS. Proficient in Java, C#, Python (Pandas/NumPy), SQL, Flask, and React, he pairs strong engineering chops with rapid adaptability to new technologies and business needs. A Forbes Under 30 Scholar and Harvard Peek participant, he brings curiosity about the human side of technology and a track record of accessibility work, including haptic interfaces for visually impaired users. He’s completing an MS in Computer Science via Stanford SCPD and intends to continue building AI-driven mobility and developer tools in the Bay Area.
9 years of coding experience
BSc (Hons), Computer Science, BSc (Hons), Computer Science at Western Michigan UniversityMS SCPD (hybrid), Computer Science, MS SCPD (hybrid), Computer Science at Stanford University
Chinese, Malay, Chinese, English
Github Skills (6)
markdown10
jupyter-notebook10
markdown-it10
documentation10
api8
apim8
Programming languages (3)
Github contributions (5)
ogx-ai/ogx
Oct 2024 - Mar 2025
Open GenAI Stack
Role in this project:
Technical Writer
Technical WriterContributions:22 reviews, 12 PRs, 52 pushes in 5 months
Contributions summary:Justin primarily contributed to the project by updating and improving documentation. This involved creating quickstart guides, reorganizing the documentation structure, and integrating examples using the Together API. The user also updated existing notebooks to reflect the latest changes in the codebase, ensuring the documentation remained accurate and up-to-date. Their work focused on enhancing the accessibility and clarity of the project's documentation for other users.
genai
meta-llama/prompt-ops
Apr 2025 - Dec 2025
An open-source tool for LLM prompt optimization.
Contributions:8 reviews, 14 PRs, 43 pushes in 7 months
llm
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