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Aditya Gautam is an AI expert contributing to the advancement of the field through industrial innovation, academic research, and public discourse. At the core of his work, he designs and builds systems in the domain of Large Language Models (LLMs) and AI Agents to solve complex challenges in integrity, recommendation, and user ranking at a massive scale. His career includes pivotal machine learning roles at Google and currently at Meta, where he leads Machine Learning efforts in Integrity for Recommendation system. This work is focused on ensuring the safe and responsible deployment of generative AI technologies for millions of users.
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Aditya Gautam is an AI researcher and engineer whose work spans industrial innovation, academic research, and AI policy. He has held roles at Google and Meta, working on recommendation systems, integrity, and large-scale generative AI deployment. His research covers topics including reel multimodal understanding, multi-agent systems, and LLM evaluation, and he has published in top-tier conferences such as ICWSM while serving as a peer reviewer for venues like NeurIPS, ICML, and AAAI.
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As an active voice in the Generative AI community, Aditya actively disseminates his expertise on the global stage. He is a frequent speaker and panelist at premier events and conferences such as the Databricks Data + AI Summit and Analytics Vidhya, sharing novel insights on agentic system evaluation, LLM cost optimization, and the LLM-driven transformation of recommendation engines. His thought leadership is also featured in interviews with publications like Marktechpost and on various industry podcasts. He also contributes to the development of AI policy, offering insights for regulations like the EU's Digital Services Act (DSA). His influence in the academic community is demonstrated by his research on misinformation presented at ICWSM, his role as a session chair for ECML PKDD, and his service as a peer reviewer for top-tier venues like NeurIPS, ICML, and AAAI. Aditya holds a Master's degree from Carnegie Mellon University.
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​Aditya is also an active voice in the AI community: he speaks at industry events such as the Databricks Data + AI Summit and Analytics Vidhya, and shares insights on the economics and practical adoption of LLMs and AI agents. He holds a Masters degree from Carnegie Mellon University.

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