Barzan Mozafari

Associate Professor

Ann Arbor, Michigan, United States
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Summary

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Senior
🎓
Top School
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.
code13 years of coding experience
job14 years of employment as a software developer
bookComputer Science, Computer Science at Massachusetts Institute of Technology
bookUniversity of California, Los Angeles
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Github Skills (21)

approximate9
postgresql7
mysql7
amazon-web-services7
rdbms7
relational-databases7
database7
galera6
geographical-information-system5
mysql-server5
json5
storage-engine4
sql4
nearest-neighbor-search4
variance3

Programming languages (3)

JavaC++Perl

Github contributions (5)

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barzan/dbseer

Jun 2013 - Jun 2015

DBSeer
Contributions:17 commits, 6 pushes, 1 comment in 2 years 1 month
postgresqldatabasemysql
keebo-ai/cliffguard

Jul 2020 - Jul 2020

WorkloadMiner + CliffGuard (Robust Physical Designer for Databases)
Contributions:1 push, 1 branch in 1 day
designerdockerphysicaldatabases
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