Mohammad Hashemi
Sr Deep Learning AI Engineer at Illumina
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolMohammad Hashemi is a Senior Deep Learning AI Engineer in the San Francisco Bay Area with a decade of experience applying research-grade ML to real-world security and detection problems. He holds a PhD from the University of Colorado Boulder and has translated academic advances in adversarial robustness, domain adaptation, and transfer learning into production-ready intrusion detection systems. At Illumina he applies this expertise to build robust, efficient models that detect unseen anomalies and resist adversarial manipulation. His work spans modalities—images, text, time-series, and network traffic—reflecting a rare ability to generalize methods across input types. Prior roles including postdoc, graduate research, and an internship at Uber demonstrate both deep theoretical grounding and practical engineering at scale. He combines rigorous research instincts with a practitioner’s focus on deployability and threat-aware model evaluation.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Colorado BoulderBachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Sharif University of Technology
Persian, English
Github Skills (1)
network-intrusion-detection5
Programming languages (1)
Github contributions (5)
S-Mohammad-Hashemi/RePO
Aug 2020 - Dec 2020
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
Contributions:4 commits, 5 pushes, 1 branch in 4 months
network-intrusion-detection
S-Mohammad-Hashemi/GesturePlayer
Mar 2016 - Jan 2017
Contributions:7 commits, 6 pushes, 1 branch in 10 months
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