Summary
Michael Piccirilli is a Director of Applied Data Science based in San Francisco with 12+ years of hands-on experience building ML, statistical modeling, and decisioning systems that drive measurable financial impact across fintech, communications, and trust & safety. He has a proven track record of founding and scaling data teams, commercializing AI/ML products, and turning complex optimization and Bayesian modeling problems into productionized infrastructure and self-service tools. His background spans capital markets and banking operations through to LLM systems and experimentation, giving him a rare blend of product strategy, quantitative rigor, and operational delivery. At Prosper he automated loan allocation and built Python+React apps that eliminated routine work and became core capital markets infrastructure, and at First Republic he translated ML into executive decisions on compensation and workforce planning. Comfortable both coaching teams and shipping code, he pairs a Columbia M.S. in Statistics with practitioner experience in C++, Python, R, and applied economics—often surfacing insights from large, messy financial and blockchain datasets.
12 years of coding experience
15 years of employment as a software developer
Masters Statistics, Masters Statistics at Columbia University