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Speaker

Sudeep Das

Head of Machine Learning and Artificial Intelligence, New Business Verticals @DoorDash, Previously Machine Learning Lead @Netflix, 15+ Years in Machine Learning

Sudeep Das is a senior machine learning and artificial intelligence leader with over 15 years of experience building large-scale, consumer-facing AI systems. He currently serves as Head of Machine Learning & AI for New Business Verticals at DoorDash, where he leads personalization, search, catalog intelligence, and decision-making systems across rapidly expanding consumer experiences including grocery, convenience, alcohol, and retail. At DoorDash, Sudeep focuses on applying deep learning, recommender systems, and generative AI to create highly adaptive, real-time consumer experiences. His work spans ranking and retrieval, large language model–powered discovery, and agentic systems that reason across user intent, context, and constraints to deliver personalized outcomes rather than static recommendations. Previously, Sudeep was a Machine Learning Lead at Netflix, where he helped develop next-generation personalization and discovery algorithms used by hundreds of millions of users worldwide. He holds a Ph.D. in Astrophysics from Princeton University and brings a strong scientific foundation to practical AI leadership at scale. Sudeep is a frequent speaker at leading international conferences including RecSys, SIGIR, ICML, and QCon, where he shares insights on production ML systems, personalization, and the future of intelligent consumer platforms.

Session

From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash

Consumer AI is rapidly evolving beyond one-shot predictions toward systems that reason, plan, and adapt in real time.

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