Summary
Justin 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