Thomas Kassel
Staff Data Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolThomas Kassel is a Staff Data Engineer in San Francisco with nine years of experience applying machine learning, software engineering, and product-focused data systems to clean energy and climate science. He has progressed from energy analytics roles to leading data engineering at Form Energy, and previously built production ML and CV pipelines at WattTime contributing to Climate TRACE’s satellite-based emissions monitoring. Thomas blends domain knowledge of power systems with hands-on skills in Airflow, GCP, Postgres, and model orchestration to drive real-time inference at scale while reducing tech debt and improving code quality. He’s equally comfortable designing thermodynamic and uncertainty-quantification models for buildings as he is operationalizing TB-scale geospatial ML, bringing a pragmatic research-to-production mindset to mission-driven problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Biology/Biological Sciences, General, Bachelor of Arts (B.A.), Biology/Biological Sciences, General at Wesleyan UniversityBurlington High SchoolNYC Data Science Academy
Github Skills (3)
nodejs5
css5
javascript4
Github contributions (5)
nycdatasci/online_bootcamp_project
Jan 2017 - May 2017
Contributions:95 commits, 54 pushes in 4 months
cssjavascriptnodejspresentation
thomas-kassel/NYCDSA-projects
Mar 2017 - Jun 2017
Contributions:12 pushes, 1 branch in 2 months
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