Summary
Dan Oblinger is a CTO and AI leader with 13+ years building and commercializing deep learning, computer vision, and robotics systems from DARPA labs to venture-backed startups. He alternates between hands-on engineering and executive leadership, having led a 60-person PhD-heavy R&D organization at Aeolus, founded and sold Analytics Fire, and turned SportsVisio’s CV product from “unshippable” to revenue-generating. His work spans end-to-end AI productization—robotic manipulation, large-scale IoT analytics, and automated sports video analytics—plus stewardship of a $200M+ DARPA research portfolio that seeded technologies behind IBM Watson. He’s a prolific inventor and researcher (20+ patents, 25+ papers) who also taught graduate ML at Columbia and translated academic ideas into shipped products at IBM and startups. Notably, he built novel practical frameworks for Programming-by-Demonstration and led projects that produced order-of-magnitude cost reductions in home robotics and a Fortune-1000 revenue-driving solar design tool. Based in San Francisco, he operates with one foot in cutting-edge research and the other in driving durable commercial impact.
13 years of coding experience
17 years of employment as a software developer
B.S. Computer Science and Mathematics, B.S. Computer Science and Mathematics at Northern Kentucky University
PhD Artificial Intelligence, PhD Artificial Intelligence at University of Illinois Urbana-Champaign
MS Computer Science, MS Computer Science at The Ohio State University