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Aditya
Gautam
Tech Lead, Machine Learning
Meta
Aditya is a seasoned Machine learning practitioner, currently working on LLM (Llama) application to enhance recommendation and ranking algorithms at scale. He has led several critical Machine learning projects in Facebook reels including user interest exploration, trend detection, quality improvement and safeguarding policy by detection violation. He played a pivotal role in mitigating misinformation on Facebook platform by pioneering effective Machine learning techniques and effectively deploying them at scale, resulting in reducing harmful content and ensuring safe user experience.With this, Aditya is also very passionate about space of AI policy and governance. He holds a master’s degree from Carnegie Mellon University and has worked in Machine learning at Google and has been a founding engineer of an AI startup at Area 120 (Google Incubator). Aditya holds a US patent and has been associated with many organizations including IEEE (Senior Member), Integrity Institute and ACM.
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29 April 2025 12:55 - 13:15
Panel discussion: Building faster, more efficient agents - Accelerating adoption across the enterprise
Explore the strategies and technologies needed to build faster and more efficient AI agents, driving broader adoption across the enterprise. In this interactive conversation, our lineup of industry practitioners will discuss best practices for optimizing agent performance, reducing computational costs, and improving scalability.
29 April 2025 15:20 - 15:40
Panel discussion: Building a fine-tuning pipeline for LLM alignment
In this interactive discussion, assess the critical role of fine-tuning in achieving alignment for LLM apps. Discuss techniques, methodologies, and best practices for building safe and beneficial AI systems, with input from our panel of industry leaders.