Summary
Arijit Ray is a Computer Vision Ph.D. student and researcher with a decade of experience building and evaluating vision-language and explainable AI systems across academia and industry. He has worked at SRI, Meta FAIR, Google X, and is currently collaborating with Ai2 and Boston University under advisors including Kate Saenko and Ranjay Krishna, focusing on teaching machines to see, think, act, and create. His internships at major labs and a recent Google research role underscore expertise in adapting large multimodal models for localization and compositional reasoning, while earlier work contributed to a crop-sensing model that supported a $305M acquisition. Comfortable bridging foundational research and applied systems, he also participates in cross-institutional PhD collaboration with the University of Washington and engages with AI-for-impact initiatives at MIT.
10 years of coding experience
6 years of employment as a software developer
PhD Student Collaborator Computer Science, PhD Student Collaborator Computer Science at University of Washington
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Virginia Tech
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Boston University
AI For Impact Venture Studio, AI For Impact Venture Studio at Massachusetts Institute of Technology
Bachelor’s Degree EEE, Bachelor’s Degree EEE at SRM University
English, Bengali