Arpita Vats is a Senior AI Engineer at LinkedIn, where she leads research and development in Feed Recommendations, focusing on multi-modal models, ranking algorithms, and production-scale deployment of AI systems. Her work spans areas such as large language models (LLMs), recommender systems, vision-language integration, and user engagement modeling. Previously, Arpita has contributed to cutting-edge research at Meta and Amazon, where she worked on privacy-aware LLMs and multilingual question answering. Her academic background includes several peer-reviewed publications in top-tier conferences such as CVPR, ICASSP, and WACV, with recent contributions addressing generalization in small language models, causal inference in recommender systems, and real-time video understanding. Arpita actively engages with the AI research community as a reviewer for conferences like NeurIPS, ICLR, ICCV, and KDD, and serves as an organizer for CVPR and ICCV workshops. She is a frequent speaker at industry conference, where she shares insights on memory-augmented agents, retrieval-augmented generation, and foundation model trustworthiness.