Shaoor Munir is a Chief AI and Data Officer and Computer Science Ph.D. with nine years of experience translating security-focused research into production AI systems. He built high-accuracy, privacy-preserving models and platforms at ID Privacy AI—leading a multi-agent self-serve product with a 73% appointment booking rate and a vehicle valuation system at 98% accuracy for 50,000+ models. His academic work produced widely adopted open-source tools (PURL used by millions via AdGuard) and novel ML countermeasures that cut sophisticated bot evasion by nearly half. Equally comfortable in cloud-native deployments and graph-based research, he bridges rigorous security research (publications at USENIX Security and ACM CCS) with practical engineering that ships and scales. Based in Davis, CA, he has a demonstrated knack for turning privacy research into usable, impactful products.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Davis
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at National University of Computer and Emerging Sciences
Contributions:25 commits, 22 pushes, 1 branch in 1 month
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