Summary
Saikat Majumdar is a Senior Research Scientist with a decade of experience at the intersection of machine learning, security, and systems, currently improving ML-driven recommendation systems at Meta. He holds a PhD from The Ohio State University and has a track record of advancing both attacks and defenses for deep neural networks, with hands-on roles from research internships to production-focused applied science. Saikat’s background blends academic rigor—graduate research on ML robustness and security—with practical engineering experience building AI-driven network reliability tools and deployable analytics. Notably, he has moved between research and production at Meta and Amazon, bringing vulnerability-aware thinking into real-world recommender and engagement systems. Based in Columbus, Ohio, he combines systems-level threat modeling with data-centric security approaches to make AI more trustworthy in large-scale applications.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at Indian Institute of Engineering Science and Technology (IIEST), Shibpur
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The Ohio State University
English, Bengali, Hindi