Joseph Zadeh is a Machine Learning Architect with a Ph.D. in Mathematics and nine years of hands-on experience building AI-driven security and behavior analytics products in Silicon Valley. He has repeatedly served as a founding engineer and technical leader, guiding data science and security teams through product roadmaps, patents, and successful exits for startups and government contracts. His work spans large-scale ML systems, NLP and LLM detection, and military-grade cybersecurity platforms, including covert LLM fingerprinting and a Cyber Quantification Framework for DoD use. Known for bridging customers and engineering, he translates complex research into production-ready solutions and has a track record of open data and community-facing security contributions. Based in San Jose, he combines rigorous academic depth in stochastic processes with pragmatic product delivery across industry and defense.
9 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at Purdue University
Bachelors of Science Mathematics, Bachelors of Science Mathematics at University of California, Riverside
Aktaion is a machine learning open source & active defense (orchestration) prototype. The tool focuses on the detection of exploits based on machine learning techniques, independent of static-based signatures.
Contributions:74 commits, 4 PRs, 79 pushes in 3 years 2 months
Contributions:16 commits, 6 PRs, 26 pushes in 1 year 6 months
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Joseph Zadeh - Machine Learning Architect at Kipling Secure