Kaiyuan Zhang is a researcher and PhD candidate at Purdue who designs security and privacy foundations for real-world agentic AI systems, with eight years of experience bridging academic rigor and product-facing research. He has worked across industry labs—Perplexity, Microsoft Research, AWS Bedrock, and NEC Labs—specializing in threats like prompt injection and alignment/mechanistic interpretability of LLM-driven agents. His publications and policy contributions include responses to NIST/CAISI and practical tooling for safer browsing agents, reflecting both theoretical depth and applied impact. Based in West Lafayette, he combines hands-on experiments with frontier models and an ability to translate findings into industry guidance, making him a go-to researcher for building secure, deployable AI agents.
8 years of coding experience
Doctor of Philosophy Computer Science, Machine Learning and Computer Security, Doctor of Philosophy Computer Science, Machine Learning and Computer Security at Purdue University
Contributions:16 commits, 22 pushes, 1 branch in 2 months
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