Adi Banerjee

Adi Banerjee is an Applied Scientist at AWS specializing in GenAI.

His research interests include Scalable LLM Evaluation, Responsible AI, Augmented Information Retrieval in RAG, Efficient Language Model Fine-Tuning, and LLM Tuning via Reinforcement Learning.

Adi holds a Master of Science in Operations Research from Georgia Institute of Technology, a Bachelor's Degree in Chemical Engineering from Purdue University, and a Bachelor of Engineering in Chemical Engineering from Curtin University.

He completed his high school education at Perth Modern School.

Adi has worked in various roles in organizations such as Amazon Web Services, McKinsey & Company, Kaizen Analytix, Cypress.io, Ingram Micro, E. & J. Gallo Winery, Chevron, Fluor Corporation, and Purdue University.

He has experience as an Applied Scientist, Senior Data Scientist, Data Scientist, Graduate Research Assistant, Graduate Teaching Assistant, Data Science Intern, Data Analytics Intern, Undergraduate Teaching Assistant, Business Analytics Intern, Process Engineer Intern, and Undergraduate Research Assistant Intern.