Debjyoti Paul

Debjyoti Paul is a highly experienced Applied Scientist at Amazon, specializing in Large Language Models (LLM), Recommender Systems, Generative AI, and MLOps. His work involves cutting-edge AI research and development, contributing to significant advancements in these fields. weekday+4

With a strong foundation in Computer Science and Electrical & Electronics Engineering, Debjyoti has held diverse roles across prominent tech and financial institutions like Microsoft and HSBC. His earlier experience includes developing Machine Learning algorithms for Microsoft R&D Bing Ads and working in financial decision science. weekday+2

Beyond his corporate roles, Debjyoti actively contributes as a Mental Health Advocate and Tech Advisor (Volunteer) at Moner Bondhu, where he was instrumental in developing 'Manush E', an AI-driven open-source platform aimed at expanding access to mental health services. weekday+1

An active speaker and workshop leader, Debjyoti shares his expertise on topics such as Agentic AI, LLM hallucination prevention, and computer vision at major conferences like ML Conference and Interview Kickstart. interviewkickstart+3

His research background includes notable contributions in natural language processing, such as co-authoring papers on using word embeddings for automatic query expansion and enhancing knowledge-based explainable reasoning in visual question answering. arxiv+1