Bhuvesh is a Research Scientist on the User Modeling & Personalization team at Snap Research. His research at Snap focuses on recommender systems, representation learning, and user modeling. Before joining Snap, he worked at TikTok, where he designed large-scale recommendation algorithms. In addition, Bhuvesh has gained research experience at Meta and Amazon. He holds a Ph.D. in Computer Science from the Georgia Institute of Technology, where he was advised by Dr. Jacob Abernethy and Dr. Jamie Morgenstern. His work has been published in top-tier conferences, including ICML and NeurIPS, and spans diverse areas such as mechanism design, robust machine learning, active learning, federated learning, as well as fairness and privacy in machine learning.