Adam Frees is an AI Engineering Manager in Madison, WI with 11 years of experience applying research-grade rigor to production ML systems. He holds a PhD in condensed matter physics/quantum computing and has moved from academic nonlinear optimization and quantum-device modeling into leading teams that deploy large-scale CV and NLP models in production. At Fetch he built agentic LLM prototypes for text-to-SQL RAG workflows, standardized model deployment frameworks, and led a 10+ engineer team to productize those systems for external partners. His background includes architecting containerized, IaC-driven ML platforms on AWS and Azure, shipping CV pipelines that process millions of receipts daily, and building transformer-based APIs for insurance risk prediction. Colleagues rely on him to bridge C-suite strategy and hands-on engineering—he pairs deep technical authorship (multiple first-author publications) with pragmatic delivery and an unexpected fondness for bad movies.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Condensed Matter and Materials Physics, Doctor of Philosophy - PhD, Condensed Matter and Materials Physics at University of Wisconsin-Madison
Bachelor of Science (B.Sc.), Mathematical Physics, Bachelor of Science (B.Sc.), Mathematical Physics at Brown University
Other; CORe Credential of Readiness, Pass with Honors, Other; CORe Credential of Readiness, Pass with Honors at Harvard Business School Online
This repository is intended to automate the construction of COMSOL models of semiconductor quantum dot devices.
Contributions:20 commits, 11 PRs, 58 pushes in 25 days
comsol
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