Summary
Tuhin Chakrabarty is an NLP-focused researcher and engineer with a decade of experience spanning academia and industry, currently serving as Assistant Professor at Stony Brook University while conducting research at Salesforce. His work blends generative AI, machine learning, and interdisciplinarity to interrogate how large models are trained and how they reshape skilled labor markets, with a particular emphasis on longitudinal harms and consent in data use. He has contributed to applied and foundational projects at Google DeepMind, The New York Times, AI2, and Amazon, and brings practical systems experience from roles at Uber and Ola that inform his empirical approach. Tuhin’s research interrogates not only model capabilities but also real-world impact metrics—seeking measurable ways to assess labor-market dilution by automation.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Jadavpur University
Doctor of Philosophy - PhD Natural Language Processing, Doctor of Philosophy - PhD Natural Language Processing at Columbia University
English