Shahab Sheikh-bahaei
Principal Machine Learning Scientist at Netskope
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolShahab Sheikh-bahaei is a Principal Machine Learning Scientist in the San Francisco Bay Area with eight years of industry experience building production ML systems for IoT, network security, and real-time anomaly detection. He has led and grown AI/ML teams at Netskope and Opsera, architecting device fingerprinting, hyper-context detection, and streaming risk assessment engines that operate at network scale. His background spans deep research in agent-based modeling and bioengineering—skills he has applied to practical problems from telemedicine prototypes to QPS optimization and mobile ad fraud detection. Known for turning academic rigor into deployable pipelines, he combines expertise in Python, Spark, TensorFlow and streaming architectures with hands-on leadership across startups and large enterprises. An unusual strength is his early work on multi-agent simulations and parameter estimation, which informs his approach to complex, multi-entity anomaly detection in modern networks.
8 years of coding experience
23 years of employment as a software developer
PhD BioEngineering, PhD BioEngineering at University of California, BerkeleyMS Electrical Engineering, MS Electrical Engineering at The University of New MexicoB.S. Electrical Engineering, B.S. Electrical Engineering at Isfahan University of TechnologyVisiting Student from UCSF/UC-Berkeley Bioengineering, Visiting Student from UCSF/UC-Berkeley Bioengineering at Stanford University
English, PersianGithub contributions (3)
shahabeddin/GEC_Lab_IntroLevel
Sep 2017 - Aug 2019
Contributions:33 commits, 29 pushes, 1 branch in 1 year 11 months
shahabeddin/GEC_Lab_Level2
Sep 2017 - Nov 2017
Contributions:17 commits, 15 pushes, 1 branch in 1 month
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