Bryan Holman is an AI Architect based in Portland with a decade of experience bridging meteorological research and data engineering to deliver production-ready AI and analytics solutions. He earned a Ph.D. in Meteorology and translated his thesis work on data mining for weather forecasting into a career focused on big data, data engineering best practices, and applied machine learning. Bryan has progressed from research and teaching roles into leadership positions at HealthSparq and Kyruus Health and now leads AI work at Insight, consistently moving models from experimentation to operational pipelines. Colleagues know him for combining rigorous statistical thinking with pragmatic engineering, and for a curious streak that fuels clean data architectures and reproducible ML workflows. Outside of work he recharges through outdoor exercise, post-rock music, and time with his wife and two sons — a balance that keeps his problem-solving fresh.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph. D.) Meteorology, Doctor of Philosophy (Ph. D.) Meteorology at Florida Institute of Technology
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Portland State University
Associate of Arts (A.A.), Associate of Arts (A.A.) at Portland Community College
Contributions:20 PRs, 56 pushes, 7 branches in 1 year 7 months
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