Summary
Praneeth Vepakomma is a researcher-founder and machine learning scientist with ~10 years of experience building privacy- and communication-efficient distributed ML and statistical systems. Currently bridging academia and industry as Founder & Chief Agentic Officer at Agentoid, Visiting Assistant Professor at MIT IDSS, and Assistant Professor at MBZUAI, he combines deep theoretical grounding from a PhD at MIT with product-minded systems work across startups and large companies. His research—spanning federated and split learning, non-asymptotic statistics, randomized and learning-augmented algorithms—has earned awards and industry fellowships (Meta, SERC) and best-paper recognitions at NeurIPS and FG. He brings hands-on privacy engineering from internships at Apple and Meta and production fraud-detection and predictive modeling experience from Amazon and Motorola. Notably, he co-founded a nonprofit that won a Financial Times Digital Innovation Award, reflecting a streak for applied societal impact. Based in Cambridge, MA, he welcomes collaborations, invited talks, and high-level or in-depth feedback on distributed scientific computation.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Massachusetts Institute of Technology
M.S, Mathematical and Applied Statistics, M.S, Mathematical and Applied Statistics at Rutgers University
Telugu, Hindi, English