Debjit Paul is a Senior Researcher and applied NLP scientist with nine years of experience building and deploying AI systems that bridge deep learning, commonsense reasoning, and social-emotional intelligence. He holds a PhD from Heidelberg University and has driven research and student mentoring at EPFL, developing benchmarks and reinforcement-learning techniques to improve LLM reasoning and text generation. Debjit has industry experience translating research into products through internships at Amazon Alexa AI, an R&D role at Huawei focusing on agentic AI, and now a Senior Researcher role at Microsoft. He publishes in top-tier venues, champions open science practices, and has a practical track record—winning a Trivago hackathon and shipping NMT pipelines in production settings. Notably, his work emphasizes interpretable, knowledge-augmented models that reason about complex social situations rather than treating language as pattern matching alone. Based in Karnataka, India, he combines rigorous academic foundations with hands-on engineering to push AI toward more explainable and socially aware behavior.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Computer Science and Engineering, Bachelor's Degree, Computer Science and Engineering at West Bengal University of Technology, Kolkata
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Heidelberg University
Master's Degree, Computer Science, Master's Degree, Computer Science at Universität des Saarlandes
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Indira Gandhi Senior Secondary School
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
Contributions:120 commits, 119 pushes, 3 branches in 2 years
nlpselectingpythonknowledgehop
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