David Stuebe
Data Engineer
Long Ashton, England, United Kingdom
Summary
🤩
RockstarDavid Stuebe is a Staff Machine Learning Engineer at Think Labs AI with two decades of experience applying machine learning, near-real-time analytics and numerical prediction to environmental and industrial systems. He began his career in ocean science, building numerical ocean and weather forecasting systems used by the US Coast Guard and National Weather Service in the Gulf of Maine, and later led data management for the NSF Ocean Observatories Initiative. He transitioned to product-focused data engineering at Upserve (acquired by Lightspeed) and then to renewable integration work at Camus Energy, bringing forecasting and scalable platform engineering to utility challenges. At Think Labs he now deploys physics-informed deep learning for power-flow modeling to boost grid reliability and accelerate decarbonization, effectively porting numerical modeling techniques from oceanography to the electric grid. He holds a BS from Duke and an MS in Physical Oceanography from MIT/WHOI and is based in Providence, RI.
4 years of coding experience
Github Skills (100)
python10
specification10
formatter10
filesystems10
filesystem10
pandas9
cpython9
autopep89
pre-commit-hook9
azure-blob-storage9
multiprocessing9
yapf9
memoization9
gofmt9
python-interface9
Programming languages (5)
Github contributions (5)
emfdavid/kerchunk
Jul 2022 - Jan 2025
Cloud-friendly access to archival data
Contributions:2 PRs, 59 pushes, 17 branches in 2 years 6 months
archival
SETO2243/forecasting
May 2023 - Sep 2024
A library for composable forecasting models built on top of scikit-learn
Contributions:3 reviews, 7 PRs, 16 pushes in 1 year 3 months
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