Rajdeep Mukherjee
Applied Scientist 2 at Amazon
Kolkata, West Bengal, India
Summary
👤
Senior🎓
Top SchoolRajdeep 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 KharagpurBachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Jadavpur UniversityMaster's degree Computer Science and Engineering (Information Security), Master's degree Computer Science and Engineering (Information Security) at Indraprastha Institute of Information Technology, DelhiKendriya Vidyalaya Sangathan
English, Hindi, Bengali
Github Skills (4)
financial-data10
benchmarking10
summarization10
sentiment2
Programming languages (1)
Github contributions (5)
rajdeep345/MTLTS
May 2020 - Dec 2021
Contributions:55 commits in 1 year 7 months
rajdeep345/ECTSum
Jun 2022 - Mar 2023
Dataset and Codes for our EMNLP 2022 Main Conference Long Paper titled "ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts"
Contributions:59 commits, 55 pushes, 1 branch in 8 months
benchmarkingdatasetfinancial-datasummarizationsummarization-dataset
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.