Summary
Rajdeep Mukherjee is an applied scientist and near-completed PhD from IIT Kharagpur with a decade of experience bridging academic research and industry R&D in natural language processing. His doctoral work tackled modeling and evaluation challenges in text summarization across domains like finance, e-commerce, law, disaster response and tourism, and he now explores LLM applications to extreme multi-label tasks such as numeric labeling in financial disclosures and attribute extraction for product catalogs. He has published consistently at top venues (SIGIR, WSDM, EMNLP, AACL, ECIR) and has held research roles at Amazon and NielsenIQ, bringing research-grade solutions into production environments. Based in Kolkata, he combines strong systems and applied ML skills with practical BI and software experience from earlier roles at PwC and internships at IBM, making him effective at moving prototypes to deployable models. Rajdeep’s long-term focus is AI for Social Good, and he actively seeks NLP research positions where domain-aware, evaluation-focused modeling can impact high-stakes applications.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Indian Institute of Technology Kharagpur
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Jadavpur University
Master's degree Computer Science and Engineering (Information Security), Master's degree Computer Science and Engineering (Information Security) at Indraprastha Institute of Information Technology, Delhi
Kendriya Vidyalaya Sangathan
English, Hindi, Bengali