Rohan Sukumaran is a Principal Trusted AI and Data Privacy Consultant with eight years of experience building privacy-preserving, robust, and responsible ML systems across industry and academia. Currently leading AI safety, red teaming, and responsible AI efforts for generative and agentic systems at Autodesk, he blends research rigor from his time at Mila with hands-on applied ML experience from roles at TD, PathCheck, and Swiggy. He has led interdisciplinary teams and collaborations with top institutions (MIT, CMU, GaTech, UIUC, Mayo Clinic) to deploy scalable, privacy-first solutions in healthcare and enterprise settings. Comfortable spanning research, engineering, and program leadership, he has a track record of turning grant-funded research into production-ready systems and publications. Based in Montreal, he pairs a Master’s in Computer Science with deep expertise in trustworthy AI, and often focuses on practical red-teaming and evaluation strategies that expose real-world failure modes not obvious in standard benchmarks.
8 years of coding experience
6 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at Université de Montréal
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Indian Institute of Information Technology, SriCity
front end devolopment, Computer Science, front end devolopment, Computer Science at freeCodeCamp
Contributions:1 review, 5 PRs, 55 pushes in 1 year 4 months
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Rohan Sukumaran - Principal Trusted AI And Data Privacy Consultant