I am a Research Scientist and Engineer specializing in generative AI and large language model research, with a robust foundation in advanced statistics. My work spans innovative applications in recommender systems, privacy-preserving machine learning, and reinforcement learning, coupled with cutting-edge contributions in Gen AI. My theoretical interests include statistical learning theory, high-dimensional probability, and information theory. I currently serve as an Applied Scientist at Amazon AWS, where I drive the development of next-generation AI technologies. Previously, I worked as a Research Scientist at Meta. I am also a PhD candidate at Caltech (currently on leave) and hold both a Master’s and a Bachelor’s degree in Electrical Engineering from Arizona State University and Sharif University of Technology, respectively.