Summary
Mike Beaumier is a PhD-trained staff data scientist with 11 years of experience building production-grade ML systems that have influenced multi-billion dollar revenue streams and large-scale content-safety platforms. At Google he architected LLM-powered systems for fairness and safety and led causal inference and forecasting work tied directly to ad revenue; he now focuses on binary analysis datasets at Delphos Labs. His background in particle physics gives him deep experience with petabyte-scale data, high-performance computing, and statistical rigor, paired with practical engineering from roles at Mercedes-Benz and startup-focused fellowships. Mike blends research-level quantitative methods with hands-on deployment skills, routinely moving prototypes into operational systems. Outside tech he helps grow the Orange County bluegrass community as a regional director, reflecting a knack for community-building and cross-disciplinary leadership. Based in Mission Viejo, CA, he combines academic depth with product-driven impact and a curiosity for hard, data-intensive problems.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Western Washington University
Master of Science (M.S.) Physics, Master of Science (M.S.) Physics at University of California, Riverside
French, German