Summary
Mohammad Sanatkar is a machine learning leader, founder and PhD with 11+ years of experience building deep learning and probabilistic models for production systems in the Bay Area. He has led core perception ML teams at Waymo and Cruise, designed scalable generative and discriminative models at eBay, and now runs SelfMachines, a no-code platform for building customized information retrieval and processing pipelines. His strengths span vision, NLP, RL and Bayesian methods, with particular skill applying variational autoencoders, multi-task learning and tree-based models to real-world ranking, detection and uncertainty problems. As a repeat founder and Founder in Residence at Forum Ventures, he pairs research-grade modeling with product-first engineering to make ML workflows deployable at scale. Not obviously, his background includes deep theoretical work on Bayesian inference and graph-based algorithms from his PhD, which informs practical choices around model efficiency and limited-label learning. Based in San Francisco, he blends academic rigor with hands-on leadership across startups and large autonomous-vehicle and e-commerce teams.
10 years of coding experience
9 years of employment as a software developer
PhD Electrical and Computer engineering, PhD Electrical and Computer engineering at Duke University
Amirkabir University of Technology
Master of Science (M.S.) Electrical and Computer Engineering, Master of Science (M.S.) Electrical and Computer Engineering at Kansas State University
Bachelor of Science (BS) Electrical and Electronics Engineering, Bachelor of Science (BS) Electrical and Electronics Engineering at Ferdowsi University of Mashhad
Persian, English