Patrick Sheehan
Senior Staff Machine Learning Scientist at Teraton
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPatrick Sheehan is a Senior Staff Machine Learning Scientist with 11 years of experience building and scaling climate tech startups from the Bay Area. He blends applied math, software engineering, and startup strategy to deliver ML-driven products that accelerate decarbonization and energy resilience. Patrick has led ML efforts at Equilibrium Energy and earlier founded and advised energy-focused ventures like Nanogrid, bringing operator empathy and product instincts to technical decisions. His background—MS in Civil & Environmental Engineering and a BS in Computer Science—enables him to connect domain expertise with production ML systems. A casual athlete, he also pursues projects that help people stay active pain-free, reflecting a human-centered approach to technical work. Known for moving quickly between research, engineering, and commercial priorities, he thrives at the intersection of science, code, and go-to-market execution.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of California, DavisMaster's Degree Civil & Environmental Engineering, Master's Degree Civil & Environmental Engineering at Carnegie Mellon University
Github Skills (143)
knitr10
deep-learning10
prediction10
gradient-boosting10
shap10
jupyterlab-extension10
shapley10
machine-learning10
jupyterlab10
hydrogen10
jupyter-book10
markdown9
espn9
documented9
solar-energy9
Programming languages (9)
Github contributions (5)
usdigitalresponse/covid-exit-strategy
May 2020 - Dec 2020
Producing data for the Covid Exit Strategy website.
Contributions:6 reviews, 38 commits, 16 PRs in 6 months
strategy
patricksheehan/poppy
Dec 2022 - Dec 2023
Contributions:53 pushes, 1 branch in 11 months
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