David Chaudhari

Software Engineer at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

New York City Metropolitan Area United States
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Summary

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Rockstar
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Top School
David 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.
code4 years of coding experience
job1 year of employment as a software developer
bookMaster of Engineering - MEng, Master of Engineering - MEng at Massachusetts Institute of Technology
bookBiomedical/Medical Engineering, Biomedical/Medical Engineering at Dr Ronald McNair High School
languagesEnglish, Gujarati, Spanish
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Github Skills (21)

music-generation10
computer-vision8
deep-reinforcement-learning8
imessage8
pytorch8
sms7
tensorflow7
deep-learning7
sparse6
julia5
finch5
dsl5
typescript4
linear-algebra4
typesafe4

Programming languages (4)

TypeScriptJuliaJupyter NotebookPython

Github contributions (5)

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Contributions:3 pushes, 1 branch in 5 months
davchaudhari/web102_prework

Jan 2024 - Jan 2024

Contributions:12 pushes in 1 day
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