Sahil Dua
Senior Software Engineer, Machine Learning @Google, Stanford AI, Co-Author of “The Kubernetes Workshop”, Open-Source Enthusiast
Sahil Dua is a Tech Lead focused on developing and adapting large language models (LLMs) with an expertise in Representation Learning. He oversees the full LLM lifecycle, from designing data pipelines and model architectures to optimizing models for highly efficient serving. Before Google, Sahil worked on the ML platform at Booking.com to scale machine learning model development and deployment.
A co-author of “The Kubernetes Workshop” book and an open-source enthusiast, Sahil has contributed to projects like Git, Pandas, and Linguist. As a frequent speaker at global conferences, he shares insights on AI, machine learning, and tech innovation, inspiring professionals across the industry.
Session
From Generic to Genius: A Pragmatic Guide to Finetuning Embedding Models for RAG
Retrieval-Augmented Generation (RAG) has emerged as a powerful pattern for building LLM-powered applications that can leverage private or domain-specific data.