Summary
Manoj M is a Senior Security Engineer with 10 years of experience blending software engineering, applied research, and threat modeling to harden cloud and AI systems. He has led security efforts at Postman and Meta, specializing in agentic AI risk reduction (RCE, prompt injection, data exfiltration) and building tooling and analysis to reduce false positives and improve detection at scale. His research at Georgia Tech produced a dynamic taint-tracking system analyzing 100K+ Chrome extensions, work that fed into a USENIX '24 submission and reflects a strong empirical bent. Earlier roles at Intuit and Juniper show his ability to ship automation and observability solutions that cut MTTD dramatically and saved millions by replacing third-party tools. Based in Menlo Park with an MS in Computer Science from Georgia Tech, he combines hands-on engineering with measurable impact on AI security and supply-chain defenses.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at PES University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Saurashtra, Tamil, Hindi, English, Kannada