Summary
Riyaz Bhat is a Staff Research Scientist at IBM with over a decade of R&D experience specializing in conversational AI, document understanding, and information extraction. He holds a PhD in NLP from IIIT Hyderabad and completed postdoctoral work at University of Colorado Boulder, blending deep academic rigor with product-focused ML/Deep Learning engineering. Riyaz has driven end-to-end ML solutions from research to deployment across enterprises like Verisk, KPMG, and Interactions, and has authored 30 publications plus a US patent. His current work spans VQA, DocNLI, NLI and broader NLU problems, with a practical knack for turning complex inference tasks into scalable business features. Based in Bengaluru, he brings both hands-on modeling expertise and project leadership, often bridging research insights with tangible production impact.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at SP College Srinagar, Jammu and Kashmir.
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at IIIT Hyderabad
Post Doctoral Fellow, Post Doctoral Fellow at University of Colorado Boulder