Summary
Chhandak Bagchi is a PhD candidate in Computer Science at UMass Amherst who applies machine learning and NLP to study sociotechnical systems across science of science, social media, and news. With nine years of experience spanning industry roles at JPMorgan Chase, Palo Alto Networks, and Cisco, he blends applied research with production-minded engineering—recently fine-tuning Phi-3 for RAG re-ranking that matched GPT-4o performance within 2% on FactScore-style benchmarks. His academic work probes how scientific work is promoted and how reviewer–author discourse shapes peer review, in collaboration with Prof. Andrew McCallum and OpenReview.net. He has built practical data products for researchers, from a cross-spectrum news-framing dashboard to whale body-condition pipelines that sped analysis 100x, and has optimized time-series embedding pipelines that cut model size and training time substantially. Comfortable moving models from prototype to deployed systems, he combines strong empirical results with tools-focused engineering to make conversational and research insights actionable.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science and Engineering, 9.25/10, Bachelor of Technology (B.Tech.), Computer Science and Engineering, 9.25/10 at Vellore Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
English, Bengali, Hindi