Barzan Mozafari is a serial entrepreneur, researcher, and professor who has spent 13+ years designing statistical and machine-learning techniques to make data-intensive systems faster, more scalable, and easier to use. As CEO and co-founder of Keebo he builds turn-key data learning platforms to automate and accelerate enterprise analytics while continuing to direct research and teach as an Associate Professor at the University of Michigan. His industry experience spans startups and large organizations, including architect/advisor work on SnappyData (acquired by TIBCO) and research roles at Microsoft and Yahoo, giving him a rare blend of academic rigor and product-focused engineering. He specializes in practical approximate query processing and predictable, robust data systems—areas where he has repeatedly translated research into production-ready technology. Based in Ann Arbor, he pairs deep systems expertise from MIT and UCLA with entrepreneurial grit to drive measurable business impact. Colleagues often note his knack for turning complex statistical ideas into deceptively simple, usable tooling.
12 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Massachusetts Institute of Technology
WorkloadMiner + CliffGuard (Robust Physical Designer for Databases)
Contributions:1 push, 1 branch in 1 day
designerdockerphysicaldatabases
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Barzan Mozafari - CEO And Co-founder at University of Michigan