Summary
Vinu Sadasivan is an AI research scientist with eight years of experience bridging academic rigor and industry-scale safety work, currently at Meta SuperIntelligence Labs focused on AI safety. A Kulkarni Fellow and PhD candidate at University of Maryland with a perfect 4.0 GPA, he has contributed to multimodal and generative-AI safety projects during stints at Google DeepMind and Meta FAIR. His background spans core ML research—one-shot learning, coreset construction, and time-series RNNs—to practical work on jailbreaks and watermarking for large models, reflecting both theory and adversarial thinking. An IIT Gandhinagar Director’s Medalist with a history of research internships across top institutions, he combines strong mathematical foundations with hands-on systems experiments. Notably, he has repeatedly moved between teaching, deep research, and industry collaborations, signaling an ability to translate safety research into deployable safeguards.
8 years of coding experience
3 years of employment as a software developer
B. Tech, Computer Science, 9.21/10.00 (Director's Medalist), B. Tech, Computer Science, 9.21/10.00 (Director's Medalist) at Indian Institute of Technology, Gandhinagar
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 (Kulkarni Fellow 2023), Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 (Kulkarni Fellow 2023) at University of Maryland
Higher Secondary, Computer Science, 94.8 %, Higher Secondary, Computer Science, 94.8 % at Central Board of Secondary Education
English, Malayalam, Hindi, Tamil