Peter Chatain
Machine Learning Engineer at Ello
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Chatain is a machine learning engineer with six years of experience building and evaluating ML systems, currently applying his expertise at Ello in Palo Alto. He combines hands-on model work—distilling wav2vec2 and creating mobile performance measurement infrastructure—with research pedigree from Stanford, where he implemented SuperHF, a novel alternative to RLHF based on expert iteration. His background spans applied speech and large-language-model fine-tuning experiments, physics-informed ML for particle tracking, and AI safety research through SERI, giving him a rare blend of production engineering and theoretical grounding. He has led large student-run quantum computing initiatives and hackathons, demonstrating an ability to translate complex technical topics into accessible events and curricula. An Olympic-level rower outside work, he brings discipline and team leadership to fast-moving ML projects.
5 years of coding experience
2 years of employment as a software developer
Masters Degree Computer Science, Masters Degree Computer Science at Stanford University
Chinese, French
Stackoverflow
16reputation
54reached
1answer
0questions
Github Skills (56)
ivy10
pytorch10
translation10
python10
converter10
machine-learning10
abstraction10
deep-learning10
gpu10
sequence-to-sequence9
facebook9
numpy9
acceleration9
mxnet9
ctc9
Programming languages (9)
Github contributions (5)
Pchatain/ivy
Dec 2022 - Sep 2023
The Unified Machine Learning Framework
Contributions:12 pushes, 2 branches in 8 months
pythondata-sciencedeep-learningmachine-learningframework-learning
ElloTechnology/terraform-aws-ec2-instance
Sep 2024 - Jan 2025
Contributions:6 PRs, 13 pushes, 1 branch in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.