Summary
Karan Goel is a founder and CEO based in Palo Alto with a decade of experience translating cutting-edge ML research into production-grade products, currently building Cartesia to mainstream state space models. He holds a PhD-level research background from Stanford with prior research and industry roles at Salesforce AI Research, Snorkel AI, and CMU, focusing on reinforcement learning, generalization, and human-in-the-loop systems. Karan has a track record of shipping research into real products and collaborating with senior ML scientists (including work supervised by notable researchers like Richard Socher and Jure Leskovec). His profile blends deep academic rigor—from IIT Delhi, CMU and Stanford—with early-stage operator experience via Greylock X and founding a startup. Colleagues note he’s both a hands-on researcher and an entrepreneur who makes advanced sequential modeling techniques practical for broader engineering teams.
10 years of coding experience
5 years of employment as a software developer
Exchange Student EECS, Exchange Student EECS at INSA Lyon - Institut National des Sciences Appliquées de Lyon
High School Diploma Science (with Computer Science), High School Diploma Science (with Computer Science) at Delhi Public School - R. K. Puram
Master of Science (M.S.) Machine Learning, Master of Science (M.S.) Machine Learning at Carnegie Mellon University
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
German, Hindi, French, English