Speaker
Abstract
This talk shares practical lessons from building production-grade AI for creativity and curiosity on mobile devices. I’ll walk through how we turned ambitious, research-driven ideas into scalable, reliable features that feel effortless to users, from generative tools for artistic expression to multimodal information experiences. Along the way, we’ll look at key decisions in model design, UX, latency, and safety, and how they come together to ship AI that genuinely delights users at scale.
76%
senior dev or higher
1:11
speaker ratio
60+
practitioners
QCon San Francisco 2025 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
From the same track
Tuesday 18 November
10:35 Ballroom BC Session AI Agents Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project Adam Wolff Engineer and Individual Contributor to Claude Code @Anthropic, Previously @Robinhood, @Facebook Claude Code is the first developer tool built specifically to maximize AI development velocity. 11:45 Ballroom BC Session Engineering AI for Creativity and Curiosity on Mobile Bhavuk Jain Tech Lead @Google This talk shares practical lessons from building production-grade AI for creativity and curiosity on mobile devices. 13:35 Ballroom BC Session AI/ML Improving Meta Generative Ad Text using Reinforcement Learning Alex Nikulkov Research Scientist (RL lead for Monetization GenAI) @Meta Reinforcement Learning with Performance Feedback (RLPF) unlocks a new way of turning generic GenAI models into customized models fine-tuned for specific tasks. This approach is especially powerful when combined with in-house data and performance metrics. 14:45 Seacliff ABC Session AI Agents From Content to Agents: Scaling LLM Post-Training Through Real-World Applications and Simulation Faye Zhang, Andi Partovi This talk presents a comprehensive journey through modern AI post-training techniques, from Pinterest's production-scale content discovery systems to enterprise agent training through Veris AI’s simulation. 15:55 Ballroom BC Session Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash Sudeep Das, Pradeep Muthukrishnan 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. 17:05 Ballroom BC Session AI/ML Automating the Web With MCP: Infra That Doesn’t Break Paul Klein Founder @Browserbase, previously Director of Self-Service & Engineering Manager @Mux, Co-Founder & CTO @Stream Club, Technical Lead @Twilio Inc. 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.