Gary Zeng is a Principal Application Security Researcher with over a decade of hands-on experience turning security research into practical tooling and rules for enterprise products. Based in Markham, Ontario, he has driven AI-augmented vulnerability discovery and automation at OpenText’s Fortify program, mapping novel attack surfaces across LLM prompt injection, cloud misconfigurations, and smart contracts. His background includes designing SSO, secrets management, and microservice security at Turbonomic and leading secure, high-performance platform work at IBM where he helped scale systems to billions of calls per day and guided compliance to standards like ISO 27001 and PCI-DSS. Gary pairs deep engineering skills—building custom Vault plugins and LangChain/OpenAI rule-generation workflows—with mentorship and cross-team enablement, and he actively converts research into patents, papers, and actionable product rules. Notably, he blends systems-performance experience with cutting-edge AI security research, giving him a rare perspective on both operational scale and emerging-threat modeling.
11 years of coding experience
13 years of employment as a software developer
Master of Computer Science Computer Science, Master of Computer Science Computer Science at Lakehead University
Contributions:27 commits, 1 PR, 23 pushes in 7 months
client-sidetinyroutingcyclerouter
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