Featured Speakers

Aaron Wang is a Software Engineer on Duolingo’s DevXAI team, building AI-powered developer tools. He led the development of Duolingo’s AI Slackbot with 180+ MCP tools—helping employees find answers in help channels, triage alerts, debug incidents, and navigate internal systems. Previously, Aaron spent four years at Google and two years at Qumulo, bringing a decade of experience building infrastructure.

CTO of Workato, the enterprise MCP company and the leader in orchestration. Ex-AWS, Google, Salesforce, Heroku, Microsoft. Passionate about developers and empowering anyone to make software.

Head of AI Platforms Product, Chief Technology Office, Bloomberg | AAIF Board Member

Cecilia Liu is a Senior Product Manager at Docker, leading product strategy for Docker’s MCP Platform—Docker’s solution for running MCP servers securely and at scale through containerization. She drives Docker’s AI strategy across both enterprise and developer ecosystems, helping organizations deploy MCP infrastructure securely while empowering individual developers to easily integrate and use MCP across various scenarios. With a technical background in AI frameworks and an MBA from NYU Stern, Cecilia bridges AI infrastructure and developer tools challenges.

David Nalley is Director of Developer Experience at Amazon Web Services (AWS), where he leads efforts to improve how developers interact with AWS services and technologies. He brings over two decades of experience in technology to his role.

Nalley previously served as President of the Apache Software Foundation (ASF) for 4 years. He currently serves on the Board of Directors for the Internet Security Research Group, the organization behind Let’s Encrypt, and is the governing board chair of the Agentic AI Foundation.

At AWS, Nalley works to connect cloud technologies with developer needs and strengthen relationships between AWS and the developer community. His organization focuses on ensuring AWS services meet real-world developer requirements while advancing strategic initiatives that benefit both AWS and the broader developer ecosystem.

I am the co-creator of the Model Context Protocol (Modelcontextprotocol.io) and a Member of Technical Staff at Anthropic working on a wide variety of things. Formerly a senior manager at Facebook working on static analysis and simulation based testing. I was responsible of integrating acquisitions like Oculus into facebooks developer tooling and have spent the last 20 years in and around dev tools. Moving fluently between engineering and management. Currently back being an individual contributor.

A survivor of at least 1 AI winter, Diamond leads Datadog’s AI Skunkworks group. He joined Datadog through the acquisition of Augmend, the DevOps AI assistant startup he co‑founded.

Diamond has over 15 years of AI experience building assistants and developer platforms, from the early days of Microsoft Cortana and Amazon Alexa to open-source work on PyTorch at Meta. Today he focuses on “unhobbling” enterprise agents: durable control flow, strong evaland feedback loops + observability + security.

Ido Salomon is a seasoned AI lead and software architect. He is the creator of MCP-UI and AgentCraft, a co-author and maintainer of MCP Apps on the MCP Steering Committee, and a co-creator of GitMCP. Previously, Ido led end-user AI at Palo Alto Networks. He is an avid open-source contributor who has created several impactful projects in the agentic AI space

Jacob is a Principal in PwC’s Advisory Analytics practice, specializing in delivering business-driven AI and Generative AI (GenAI) solutions for the firm and its clients. In addition to his client-facing responsibilities, Jacob serves as the lead Principal for PwC’s GenAI delivery transformation across the Advisory practices, driving innovation and operational excellence.​

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With over 18 years of experience spanning software engineering, data engineering, data science, data analytics, and product management, Jacob has a proven track record of leveraging emerging technologies to address complex business challenges across industries. He is deeply passionate about Natural Language Processing (NLP), Machine Learning (ML), and Generative AI, fields in which he has made significant contributions. Jacob holds a Master of Data Science degree from UC Berkeley and is a named inventor on several patents across the AI and GenAI field. ​

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Jacob’s expertise and results-oriented approach position him as a thought leader at the intersection of technology and business, helping organizations unlock the full potential of advanced analytics, AI, and GenAI.

James is a Principal Software Engineer and 16-year Amazon veteran with experience across AWS and Stores. He founded Amazon’s internal AI “power user” community and now focuses on integrating AI into internal builder tools as part of the Amazon software builder experience organization. James is passionate about accelerating productivity through the combination of cultural transformation and intelligent tooling.

Liad Yosef is a seasoned AI lead and software architect, working on AI and MCP in Monday’s CEO Office. He previously led AI and MCP infrastructure in Shopify’s CEO Office, co-created GitMCP, and is now building MCP-UI while co-moderating the UI Working Group in the MCP committee. A web enthusiast for over two decades, Liad is passionate about crafting developer-first experiences and is a creator and an active contributor of multiple open-source projects. Outside of work, he writes poetry and moonlights as an analog astronaut for the European Space Agency.

Product Lead with 10+ years of experience building mission critical AI and Generative AI Platforms at Meta and Uber, holding a Masters in Machine Learning from Columbia University. Established several AI Platforms powering thousands of ML models and personalized experiences for products used by billions of users.

Nicholas Aldridge is a Core Maintainer of MCP and the Co-founder and CEO of MouseCat, which builds AI agents for fraud investigation. He spent 6.5 years as a Principal Engineer at AWS AI, where he helped launch and lead Amazon Bedrock Knowledge Bases, Agents, and AgentCore. He also represented Amazon on the A2A steering committee.

Nick Cooper is a senior member of technical staff at OpenAI working with a particular focus on scalable patterns to make life easy while iterating quickly. He is the technical lead at OpenAI for protocols, MCP Core maintainer and AAIF governing board member. He comes from a brief stint in start-ups after a lifetime in big tech. If forced to share a personal hobby he’ll tell you it’s woodworking but really it’s cooking.

Ola Hungerford is a Principal Engineer at Nordstrom and a maintainer and community moderator for the Model Context Protocol. She leads AI enablement initiatives while contributing to MCP’s specification, developer tooling, documentation, and community governance. Ola comes from a diverse technical background spanning two decades, including personalization systems and enterprise platforms. She’s also a vocalist and songwriter who experiments with augmenting human creativity through technology.

Rush leads the Agent Platform charter at Uber. Prior to establishing the Agent Platform charter, he led model deployment, inference and monitoring. Before joining Uber, he was the founder and creator of Onepanel, an open source, Kubernetes native computer vision platform.

Ryan Cooke is a technologist and founder with two decades of experience building early-stage startups. Despite several founding roles, he remains a developer at heart, drawn to hard problems in information retrieval, security and data modeling. He’s led engineering teams across enterprise SaaS and fintech, building data connectors, enterprise search platforms, and context engines that help organizations make sense of complex, distributed data.

​I work on the AI Enablement team at Nordstrom, focusing on platform engineering for MCP and AI agents. My past background in security grounds my decision-making, allowing me to balance safe architecture with a passion for AI productivity. I build infrastructure that empowers internal teams to deploy scalable solutions easily and securely.

Sheng Liang is cofounder and CEO of Obot.ai. Previously, Sheng founded and served as CEO of successful open source software companies, including Rancher Labs and Cloud.com, and served in executive roles at SUSE and Citrix. He started as an engineer at Sun Microsystems, where he worked on the Java Virtual Machine. Sheng has a B.S. in Computer Science from the University of Science and Technology of China and a Ph.D. in Computer Science from Yale University.

Developer Advocate at Workato.