Jonas Powell
Machine Learning Engineer at Rivian
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJonas Powell is a machine learning engineer in Berkeley with 9 years of experience bringing research-grade models into production across industry and academia. Trained as an astronomer, he combines strong statistical foundations (MCMC, Bayesian methods, time-series change detection) with practical ML engineering—building robust ETL pipelines, scalable models, and custom agent-based research tools at Rivian and prior DoD-focused work. He excels at taming messy, real-world data and has a track record of end-to-end delivery from proposal and exploration to deployment and customer-facing results. Comfortable implementing deep learning from scratch and automating high-value repetitive tasks, Jonas pairs curiosity-driven experimentation with product-minded rigor. An easy-going but driven collaborator, he uniquely leverages his astronomy background (300GB ALMA experience and a thesis that found interacting protoplanetary disks) to solve complex data problems.
9 years of coding experience
9 years of employment as a software developer
Master of Arts - MA, Astronomy and Astrophysics, Master of Arts - MA, Astronomy and Astrophysics at Wesleyan UniversityLake Champlain Waldorf High School
French, English
Stackoverflow
61reputation
8kreached
1answer
0questions
Github Skills (8)
google-play10
music9
player9
cross-platform7
electron6
contour6
python6
matplotlib6
Programming languages (3)
Github contributions (5)
Jonasori/Proplyd-Modeling
Oct 2018 - Jan 2020
Contributions:341 commits, 308 pushes, 1 branch in 1 year 3 months
Jonasori/ASTR231
Feb 2018 - Jun 2022
Contributions:10 pushes, 1 branch in 4 years 4 months
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