David Chaudhari
RL Researcher at Pear VC
New York City Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolDavid Chaudhari is an RL researcher and software engineer based in the NYC area with ~4 years of experience applying ML research to production-scale systems. At MIT CSAIL he’s trained 7B-parameter models with PPO-style algorithms to improve multi-step tool use, and his experiments showed a measurable 10–15% gains in tool-call success and reasoning efficiency. He’s shipped engineering improvements across industry—from containerizing services and cutting P99 latency at Project Kuiper to building an in-house Llama 3 RAG pipeline at PayPal that sped log analysis by 80%—and has built large-scale education tooling (autograder for ~10k students). Comfortable moving between research and product, he pairs rigorous experimentation with practical deployments and has a knack for turning research insights into measurable system improvements. An MIT CS background and hands-on TA roles in deep learning underscore his commitment to both cutting-edge ML and mentoring the next generation of engineers.
4 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at Massachusetts Institute of TechnologyDr Ronald McNair High School
English, Gujarati, Spanish
Github Skills (19)
music-generation10
deep-reinforcement-learning9
computer-vision8
sparse8
finch8
pytorch8
tensorflow7
deep-learning7
machine-learning6
dsl6
julia5
multidimensional-arrays4
python4
compiler3
cluster-computing3
Programming languages (4)
Github contributions (5)
davchaudhari/web102_prework
Jan 2024 - Jan 2024
Contributions:12 pushes in 1 day
davchaudhari/codepath-prework-ios
Dec 2022 - Dec 2022
Contributions:9 pushes, 1 branch in 1 day
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