Omid Madani
Exploring Prediction Games at Unaffiliated
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolOmid Madani is a seasoned machine learning researcher and engineer with 10+ years building large-scale learning systems across industry leaders including Google, Cisco, Yahoo!, and SRI. He led ML efforts for YouTube-scale multimodal learning and was a founding member and ML chief for Cisco’s Tetration Analytics, architecting data-center “nervous system” capabilities for security and operations. Currently exploring “prediction games,” he focuses on unsupervised cumulative learning that links low-level perception to high-level concepts—continuing a long-running interest in multiclass and large-scale prediction. With a PhD and postdoc in computer science, Omid blends rigorous academic foundations with a decade of production ML at scale. Based in Mountain View, he combines deep research instincts with practical system-building, often working at the sensor-to-enforcer boundary of inference and control. An intriguing throughline in his career is sustained curiosity about how learning and inference processes bridge raw sensory input to structured knowledge.
10 years of coding experience
12 years of employment as a software developer
Postdoc, Postdoc at University of AlbertaPhD, Computer Science, PhD, Computer Science at University of WashingtonBS, Computer Science, Mathematics, BS, Computer Science, Mathematics at University of HoustonSaddleback College
Github Skills (1)
hbase10
Programming languages (1)
Github contributions (2)
YahooArchive/omid
Jan 2016 - Jul 2016
Transactional Support for HBase (Mirror of https://github.com/apache/incubator-omid)
Contributions:171 commits, 182 pushes, 46 branches in 5 months
hbase
ikatkov/test
Dec 2015 - Dec 2015
Contributions:20 pushes, 10 tags in 4 days
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