This engineering-focused track showcases battle-tested architectural decisions and implementation frameworks that transform theoretical GenAI concepts into production systems, equipping technical leaders with concrete approaches for building LLM infrastructure and applications that scale reliably and deliver measurable business impact
From this track
Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash
Tuesday Nov 18 / 10:35AM PST
In this talk, we’ll walk through how DoorDash is redefining personalization by tightly integrating cutting-edge large language models (LLMs) with deep learning architectures such as Two-Tower Embeddings (TTE) and Multi-Task Multi-Label (MTML) models.
Sudeep Das
Head of Machine Learning and Artificial Intelligence, New Business Verticals @DoorDash, Previously Machine Learning Lead @Netflix, 15+ Years in Machine Learning
Pradeep Muthukrishnan
Head of Growth for New Business Verticals @DoorDash, Previously Founder & CEO @TrustedFor, 15+ Years in Machine Learning
Deep Research for Enterprise: Unlocking Actionable Intelligence from Complex Enterprise Data with Agentic AI
Tuesday Nov 18 / 11:45AM PST
Deep Research as a consumer product redefined the AI space delivering true impact to many by searching through hundreds of websites, deeply thinking through the content, and generating a comprehensive report.
Vinaya Polamreddi
Staff ML Engineer; Agentic AI @Glean; Previously @Apple, @Meta, and @Stanford
Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project
Tuesday Nov 18 / 01:35PM PST
Claude Code is the first developer tool built specifically to maximize AI development velocity.
Adam Wolff
Engineer and Individual Contributor to Claude Code @Anthropic, Previously @Robinhood, @Facebook
Automating the Web With MCP: Infra That Doesn’t Break
Tuesday Nov 18 / 02:45PM PST
AI agents are only as strong as the infrastructure beneath them. In this talk, we’ll walk through the architecture behind Browserbase’s model context protocol (MCP), built to support stateful browser automation at scale.
Paul Klein
Founder @Browserbase, previously Director of Self-Service & Engineering Manager @Mux, Co-Founder & CTO @Stream Club, Technical Lead @Twilio Inc.
From Reinforcement Learning Enhanced Image to AI Collection Generation: How Pinterest Cracked the Code on Content Discovery
Tuesday Nov 18 / 03:55PM PST
his talk presents Pinterest's journey in deploying AI at massive scale, from using Reinforcement Learning to create images to building
Faye Zhang
Staff Software Engineer @Pinterest, Tech Lead on GenAI Search Traffic Projects, Speaker, Expert in AI/ML with a Strong Background in Large Distributed System
Unconference: AI Engineering that Delivers
Tuesday Nov 18 / 05:05PM PST
