Maxwill Lin
San Francisco, California, United States
Summary
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SeniorMaxwill Lin is an experienced machine learning engineer and research-minded generalist with 11 years of experience, currently building foundation models for recommendation and advancing coding-agent behavior at Vmax. He has driven production improvements at Meta’s Recommendation System—training billion-parameter autoregressive models, accelerating evaluation pipelines from hours to minutes, and leading offline RL dataset design for long-term user value. His background spans applied research in cryptography, GNNs for NLI, and high-frequency quantitative work, giving him a rare blend of ML, systems, and math skills. Notable for rapid impact as a new hire (#1 code contributor at Meta) and for experimenting with LLM self-play, Recursive Eval, and Automated Environment Design, he combines hands-on engineering with research rigor. Based in Sunnyvale, he pairs top-ranked competitive problem-solving with a graduate CS degree from Georgia Tech and a track record of turning research ideas into production-ready systems.
11 years of coding experience
Github Skills (53)
pytorch10
llama10
inference10
multimodal10
std10
large-language-models10
tpu10
reinforcement-learning10
amd10
llm10
openai10
cuda10
transformer10
gpt10
iterator10
Programming languages (9)
Github contributions (5)
EazyReal/fixed-containers
Jun 2024 - Aug 2024
C++ Fixed Containers
Contributions:178 pushes, 8 branches in 1 month
EazyReal/CompetitveProgramming
Sep 2019 - Jan 2024
Contributions:195 pushes, 1 branch in 4 years 4 months
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