Bio

Aditya Gautam is a seasoned AI practitioner and leader specializing in multimodal LLMs, multi-agent systems, and scalable architectures for recommendation systems. At Meta, he led Generative AI initiatives for Reels across complex domains like user interest exploration and policy understanding, architecting and training sophisticated multimodal models and developing agentic solutions for adversarial video challenges. His work spanned end-to-end pre- and post-training workflows, alongside designing multi-agent frameworks and optimizing engineering pipelines for large-scale production deployment. Prior to Meta, Aditya spent over three years at Google building large-scale computer vision and content understanding systems. A recognized industry voice, his work has been featured by Nasdaq and Marktechpost. He frequently speaks at major events like the Databricks Data + AI Summit, Silicon Slopes, and MLOps Summit, and serves as a peer reviewer for NeurIPS, ICML, and AAAI, focusing on the practical bridge between frontier research and production engineering.

Session (1)