Summary
Zhilong Wang is a security engineer blending 11 years of systems and research experience at the intersection of deep learning, program analysis, and software protection. With a PhD focused on AI for security, he has hands-on expertise modifying compilers, runtimes, and kernels, and applying dynamic binary analysis and rewriting to harden real-world systems. At ByteDance he builds LLM-assisted static analysis tools and researches prompt-injection and other LLM-era vulnerabilities, while prior roles included deploying SGX-based privacy-preserving ML clusters. He combines academic rigor—GNNs and LLMs for vulnerability discovery—with practical security assurance like code review and pentesting, and is based in San Jose where he’s open to roles in cybersecurity, compiler/kernel development, and systems design. An uncommon strength is his track record of translating deep-learning research into automated tooling that finds web and application flaws at scale.
11 years of coding experience
Doctor of Philosophy - PhD, AI for Security, Program Analysis for Security, Doctor of Philosophy - PhD, AI for Security, Program Analysis for Security at Penn State University
Master's degree, Software and System Security, Master's degree, Software and System Security at Nanjing University