Parth Chadha
Member Of Technical Staff at humans&
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolParth Chadha is a Member of Technical Staff based in San Francisco with 11 years of experience building scalable ML and systems software, currently blending research and engineering at the intersection of deep reinforcement learning and system design. He spent eight years at NVIDIA as a Senior Deep Learning Algorithms Engineer, where he was a core contributor to TensorRT and led development of the Nemo-RL reinforcement learning library. His background spans hardware-aware ML work—from memristor characterization to assistive tech like low-cost refreshable braille displays—bringing a practical systems sensibility to algorithm design. Trained at Carnegie Mellon and Delhi College of Engineering, Parth combines rigorous academic foundations with hands-on production engineering and open-source impact in RL tooling.
11 years of coding experience
10 years of employment as a software developer
Electrical and Electronics Engineering, Electrical and Electronics Engineering at Delhi College of EngineeringMaster of Science (M.S.), Electrical and Computer Engineering, Master of Science (M.S.), Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (15)
python9
machine-learning9
deep-learning9
neural-network8
tensorflow8
data-science7
recurrent6
ml5
reinforcement-learning5
reinforcement-learning-environments5
deep-neural-networks5
deep-reinforcement-learning5
optimization4
compiler2
matlab1
Programming languages (4)
Github contributions (5)
parthchadha/parthchadha.github.io
Jul 2014 - Nov 2022
Contributions:37 commits, 61 pushes in 8 years 5 months
parthchadha/CompilerGym
Feb 2022 - Jul 2022
A reinforcement learning toolkit for compiler optimizations
Contributions:3 pushes, 25 branches in 5 months
optimizationsoptimizationreinforcement-learningcompilercompiler-optimizations
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