QCon AI New York 2026 / speakers
Speakers at QCon AI New York 2026
The speakers are senior practitioners who build and run AI systems in production. The Program Committee invites each one because they are leading the way or doing something new that other teams can learn from.
Select a speaker to see their experience and their talk.
Speakers
All speakers
Nancy Wang
CTO @1Password, Founded and Scaled AWS Data Protection, Previously @Rubrik and @Google
Victor Dibia
Principal Research Software Engineer @Microsoft Research, Core Contributor to AutoGen, Author of "Multi-Agent Systems with AutoGen" Book, Previously @Cloudera, @IBMResearch
Min Chen
Principal Staff Engineer @LinkedIn, Caltech CS PhD With Over 25-Year Extensive Software Development Experience
Nathen Harvey
DORA Lead & Principal Technologist
Joey Wang
Software Engineer @Harvey
Diego Iruretagoyena
Software Engineer @Microsoft AI
Clémence Burnichon
Senior Director of Engineering @Datadog, 15+ Years in the Data and AI Industry
Mehrnoosh Sameki
Principal PM Manager @Microsoft, Co-Founded Error Analysis, Fairlearn, and Responsible AI Toolbox
Meryem Arik
Co-Founder and CEO @Doubleword (Previously TitanML), Recognized as a Technology Leader in Forbes 30 Under 30, Recovering Physicist
Nina Thigpen, PhD
Director of Women’s Health @Google, Previously Founded the Women's Health Science Team @Oura
Shuangfeng Li
Senior Staff Software Engineer @Google AI Edge, 20 Years of Experience in Google's Core Engineering & Research Groups
Raghav Saboo
RecSys and Search Lead @DoorDash,
Rajat Shah
Staff Software Engineer @Netflix
Liz Fong-Jones
Technical Fellow @honeycomb.io, Developer Advocate, Labor and Ethics Organizer, and Site Reliability Engineer (SRE), Over Two Decades of Experience
Jason Zhou
Digital Natives GTM @OpenAI, Previously GM & Chief Customer Officer @Pryon
Ronak Nathani
Principal Staff Software Engineer, Compute Infra @LinkedIn, Podcast Host @Software Misadventures
Pratik Agarwal
Distributed Systems Engineer @Figma (Sandbox & Caching Platforms), Previously @Momento & @AWS DynamoDB, USENIX SREcon '26 Speaker & QCon SF Track Host
Cristian Lopez
SWE, GenAI Serving @Pinterest
Peter Bell
Founder & CTO of Gather.dev, Host of the O'Reilly CTO Hour and the CNCF Executive Summits at KubeCon
Salina Wu
Software Engineer in ML Infrastructure @Pinterest - Building the Generative AI Serving Platform
Simon Maple
Java Champion and Head of Developer Relations @Tessl, Focused on Developer Tooling, Application Security, and AI-Native, Spec-Driven Software Development
Tejas Chopra
CEO and Co-Founder @Headroom Labs, IEEE Senior Member, and BCS Fellow, Previously @Netflix
Kevin Kelley
Technical Lead for Standards @Anthropic, Focusing on Engineering Problems with Societal Implications
Tara Sainath
Distinguished Research Scientist @Google DeepMind, Lead of Gemini Audio Area and Modeling Lead for Project Astra
Sahil Vashishat
Vice President, Lead AI & ML Engineer @Blackrock
Serena Ruan
Senior Software Engineer at Databricks
Bryan Qiu
Senior Software Engineer at Databricks
Shruti Nair
SWE @Google, Creator of Agent Sandbox SDK and Owner of the Authorization Layer for Agent Substrate
Brian Yang
Member of Technical Staff @OpenAI
Emrick Donadei
Software Engineer @Google DeepMind Infra Team
Ian Carrasco
Forward Deployed Engineer @Baseten Specializing in Voice AI, Previously Computer Vision @Google Maps
Fan Yang
Staff Software Engineer @Netflix - Building the AI Serving Platform
Fabio Flores
Software Engineer, Agents @DoorDash
Lei Pan
Software Engineer @Baseten
Eric Johanson
Enterprise Deployed Engineer @LangChain
Francisco Javier Arceo
Forward Deployed Engineer @Baseten, Maintains the vLLM Agentic API Project
Committee
Program Committee
Hien Luu
AI/ML Leader, Advisor, Speaker, and Author
Faye Zhang
Staff Engineer @Google Gemini Enterprise - Building Autonomous Agents, Speaker, Expert in AI/ML, Previously Led Growth AI Initiatives @Pinterest
Wes Reisz
Technical Principal @Thoughtworks, 16-Time QCon Chair, & Creator of The InfoQ Podcast
Selection
How speakers are chosen
The Program Committee is made up of working senior engineers. They invite every speaker, looking for people who run the system in production and will say what they’d do differently.
Sponsors do not control the program, so the talks are vendor-neutral. There are no hidden product pitches, and sponsored talks are kept separate from the program.
Register for QCon AI New York 2026
Two days of talks from senior engineers who build and run AI systems in production. December 15–16, 2026, New York.