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From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Summary #
Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to dramatically boost relevance and conversion metrics.
Bio #
Sudeep Das 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.
About the conference #
QCon AI is a practitioner-led event focused entirely on the engineering discipline required to scale these workloads safely. It provides direct access to the architectural playbooks and failure metrics that peer organizations use in production.