Arpita Vats is an AI engineer currently working as a Senior AI Engineer at LinkedIn, where she has played a key role in advancing feed recommendation systems through cutting-edge machine learning and deep learning techniques. She combines strong technical expertise with a research-driven approach to problem-solving, driving impactful innovations in AI-powered personalization. With extensive experience in artificial intelligence, machine learning, and recommender systems, she has contributed to large-scale AI infrastructure, cohort generation models, and ranking methodologies. Before joining LinkedIn, Arpita worked at Meta and Amazon as a Research Scientist Intern, focusing on LLMs, Generative AI, and privacy-aware NLP models. She has authored multiple research papers in top-tier AI conferences, including ICASSP and CVPR workshops, and holds a patent related to AI at LinkedIn. Arpita is an active contributor to the AI research community, serving as a reviewer for conferences such as ICLR, CVPR, ACM-CSUR, IEEE and KDD. She is also an organizer of the CVPR 2025 DriveX workshop, focusing on Foundation Models for V2X-Based Cooperative Autonomous Driving. She holds a Master's degree in Computer Science and is passionate about bridging the gap between research and real-world AI applications