Summary
Thomas Funk is an AI/ML engineer based in the San Francisco Bay Area with nine years of experience bridging finance, product, and machine learning across startups and fintech. He has progressed from financial analyst roles at Merrill Lynch and UBS to product management and data science, then to staff ML engineering at Keeper and now AI/ML engineering at Brain Co., demonstrating both technical depth and business fluency. Thomas holds advanced degrees in computer science and an MBA from the University of Chicago, which he leverages to translate complex models into product-ready solutions. He is comfortable operating at the crossroads of research, engineering, and product, with a track record of shipping ML systems in security-sensitive and consumer-facing contexts. Notably, his background in finance and organizational behavior gives him an edge in aligning ML initiatives with measurable business outcomes.
9 years of coding experience
10 years of employment as a software developer
Master of Business Administration (MBA) Managerial and Organizational Behavior, Master of Business Administration (MBA) Managerial and Organizational Behavior at The University of Chicago Booth School of Business
Bachelor of Arts (BA) Finance and Economics, Bachelor of Arts (BA) Finance and Economics at Utah State University - Jon M. Huntsman School of Business
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at University of Chicago