
Bayesian Neighborhood Adaptation for Graph Neural Networks
Paribesh Regmi, Rui Li, Kishan KC
Transactions on Machine Learning Research, 2025
- Senior Applied Scientist at Amazon
- Ph.D. in Computing and Information Sciences from Rochester Institute of Technology
Motivated by applying AI to practical problems and communicating complex concepts in a clear, accessible way.
I specialize in Natural Language Processing (NLP), Generative AI, Multimodal Large Language Models, and Information Retrieval.
My research focuses on designing algorithms/solutions for generative multimodal question answering and multimodal search systems.
Published multiple research papers that advance the state of Machine Learning, NLP and generative AI. Bridged experimentation and real-world deployment, turning large-scale data into reliable, production-ready solutions.
Amazon AGI
📍 Sunnyvale, CA
July 2025 – Present
Amazon AGI
📍 Sunnyvale, CA
February 2022 – June 2025
Alexa AI, Amazon
📍 Sunnyvale, CA
June 2021 – September 2021
Lab of Use-Inspired Computational Intelligence, RIT
📍 Rochester, New York
August 2016 – February 2022
Highlights of my most impactful research contributions
Paribesh Regmi, Rui Li, Kishan KC
Transactions on Machine Learning Research, 2025
Minh Nguyen, Toan Nguyen, Kishan KC, Zihan Zhang, Thuy Vu
Interspeech, 2024