Rhythm Garg
Co-Founder And CTO at Applied Compute
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRhythm Garg is a founder and machine learning engineer with 8 years of experience building frontier AI systems and startups from the San Francisco Bay Area. As Co-Founder and CTO of Applied Compute and formerly a member of OpenAI’s frontiers research team, he contributed to high-compute RL efforts and core reasoning models, including work on OpenAI’s o1 and the 2024 IOI model. He has a track record of shipping productized ML: co-building and monetizing Paxo, a semantic observability tool Watchpost, and other consumer-safe apps while at Studio 2048. Rhythm blends deep research experience from Stanford and SAIL with practical infrastructure work at Google and early-stage ML roles, moving models from paper to production. He’s comfortable leading small, high-impact teams and scaling data-efficiency and safety efforts—an engineer who repeatedly turns experimental research into paying users and sold products.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Texas Academy of Mathematics and ScienceMaster's degree, Computer Science, Master's degree, Computer Science at Stanford University
English, Hindi, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
axon9
q-learning8
gymnasium8
elixir7
reinforcement-learning7
machine-learning7
transformer6
deep-learning6
pytorch5
transformers5
git-repo4
tensorflow4
neural-network3
aio3
Programming languages (5)
Github contributions (5)
badnessdotai/catalog
Apr 2023 - Jun 2023
An open, collaborative catalog of AI badness
Contributions:36 reviews, 49 PRs, 66 pushes in 2 months
coderrg/mao-score-reports
Feb 2020 - Jan 2021
Contributions:4 commits, 6 pushes, 1 branch in 10 months
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