Program Committee

Alex Gutow is Head of Marketing at Arcade.dev, the MCP runtime powering AI agents in production. Before Arcade, she built out marketing at Distributional, an early stage AI evals startup. Prior to that, she spent years in enterprise data — as Senior Director of Product Marketing at Snowflake, leading database marketing at Google Cloud, and in product marketing roles at Cloudera and Basho. Her background spans the full arc from early-stage startups to enterprise scale.

I write books about technology, the future and how rapid changes will impact businesses and society. I also enjoy conceiving and developing products. I often work with teams (from early stage to late stage) as C-level consultant for product marketing and marketing (strategic/tactical). I am equally comfortable marketing to consumers and developers/technologists, having worked in both worlds often. I am a regular contributor to Fortune, Foreign Policy and other publications, My early career was in journalism at top-level publications like Bloomberg BusinessWeek. I also dabble in code (I’m learning and enjoy coding). I do corporate innovation consulting for companies seeking to understand exponential technologies and map the impact onto their business and their employees.

I have worked to help grow communities and products around a number of important areas including Node.js, Servo/Rust, Mozilla Firefox, and the broad Open Data movement.

Angie Jones is the VP of Developer Experience at the ​Agentic AI Foundation

An award-winning educator and international keynote speaker, Angie shares her extensive knowledge with software companies and conference audiences worldwide.

As a Master Inventor, Angie is recognized for her innovative, out-of-the-box thinking, which has led to 27 patented inventions in virtual worlds, collaboration software, social networking, smarter planet initiatives, and software development processes.

AI infrastructure strategist at McKinsey Digital & Analytics; co-author of the AI-Adjusted Data Center Demand Model; hands-on engineer, focuses on data centers, compute infra, and orchestration. Served as a judge for the CES Innovation Awards and reviewed AI infrastructure work in the industry.

Manager of the AI Architecture team within Red Hat’s Open Source & AI Program Office leading the upstream community strategy for Red Hat contributions to open source AI communities. Her focus is building sustainable, collaborative ecosystems that accelerate innovation and security across the AI landscape.She has been an active contributor across multiple Linux Foundation initiatives, including the LF AI & Data, Agentic AI Foundation,FINOS, and the PyTorch community, helping shape open, community-driven approaches to AI development and governance.

Danielle Cook has been a driving force in the cloud native ecosystem since 2016, helping organizations adopt enterprise-ready technologies and clearly articulate their business value. She co-authored and maintains the CNCF Cloud Native Maturity Model, co-chairs the CNCF Cartografos Working Group, and is a CNCF Ambassador and founder of KubeCrash.

Today, Danielle is applying that same industry-shaping lens to AI—helping organizations cut through the noise, identify real-world use cases, and understand the infrastructure required to support them. By bridging cloud native principles with emerging AI architectures, she is guiding teams from experimentation to scalable, production-ready AI.

Product specialist based in London, UK, with a career in open source developer tools and platforms. A few stints in Language Technologies (Machine Translation and NLP) but mostly focused on Software Engineering, Developer Experience, Security and AI lately. Worked for the LF (SPDX Project), GitLab, Weaveworks, Elastic, Chainguard and many more. Used to run the London Git User Group and Spain’s C and C++ meetup.

Katherine Druckman is a senior technologist, speaker, and longtime advocate for open ecosystems. She specializes in developer experience, combining software ecosystem strategy, content creation, and community building, grounded in a foundation of hands-on software engineering experience and proven leadership. She is a long-time open source advocate, developer, and podcaster, and is currently the host the Reality 2.0 podcast.

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.

For most of his 15+ year career, Nao has been involved in the architecture, design, and engineering of open source systems, including the Linux kernel, OpenStack, Kubernetes, and Hyperledger. Nao is currently working on CNCF, LF Energy, FINOS, OSPO, and Agentic AI. Nao led the OSS team in the R&D Group, focusing on open-source strategy, community engagement, and technical contributions. He started the CNCF/Glossary Japanese translation projects and was one of the organizers of the Cloud Native Community Japan.

Sam is a Senior Software Engineer at GitHub, where he leads development of the GitHub MCP server. He works on AI developer tools and helps shape agentic workflows at GitHub. In a past life he was also a professional drummer.

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.

Vaibhav Tupe is a Tech Lead – Principal Engineer at Equinix, leading the design of AI-driven interconnection platforms under Fabric Intelligence. His work focuses on agentic systems, distributed cloud infrastructure, and the Model Context Protocol (MCP) to enable intelligent, autonomous network operations across hybrid and multicloud environments.