Aaron Smith is a founder and machine learning leader with 13 years of experience building research-driven products from the Bay Area. As founder and Head of Machine Learning at Unlearn.AI since 2017, he translates deep academic training—PhD-level mathematics in topology, differential geometry, and mathematical physics—into practical ML systems for healthcare. His background includes hands-on algorithm design and engineering leadership at Leap Motion and a postdoc in pure mathematics, giving him rare fluency across rigorous theory and production-grade tracking and ML systems. Based in San Francisco, he combines entrepreneurial grit with a scholar’s precision, often applying geometric and topological insights to model design and algorithmic robustness.
13 years of coding experience
1 year of employment as a software developer
Master of Science (M.S.) Mathematics, Master of Science (M.S.) Mathematics at Penn State University
Independent University of Moscow
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at University of Pennsylvania
Contributions:23 pushes, 2 branches, 2 issues in 8 years
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