Summary
Pranoy Panda is a researcher specializing in Large Language Models and their integration with structured knowledge, currently a Researcher II in the AI Lab at Fujitsu Research with nine years of research and applied ML experience. His work on combining hyper-relational knowledge graphs with LLMs earned acceptance at ACL 2024, reflecting strength at the intersection of NLP, knowledge representation, and reasoning. He holds an MTech (Research Assistant) from IIT Hyderabad where his thesis examined distribution shifts and model interpretability, and has applied-science experience from Amazon improving context-aware question generation. Past projects span drone detection with transformers, robust UAV tracking, forest ground vegetation estimation for climate-focused ML, and image dehazing—demonstrating a practical bent toward real-world sensing and robustness. Colleagues describe him as someone who bridges rigorous academic research with deployable systems, often surfacing non-obvious insights about dataset shift and model behavior that improve downstream performance.
9 years of coding experience
4 years of employment as a software developer
MTech(RA) Computer Science, MTech(RA) Computer Science at Indian Institute of Technology Hyderabad
10th and 12th Physics Chemistry and Mathematics, 10th and 12th Physics Chemistry and Mathematics at St. Xavier's High School, Kedargouri
Bachelor of Technology - BTech Electrical and Electronics Engineering, Bachelor of Technology - BTech Electrical and Electronics Engineering at National Institute of Technology Rourkela