Program Committee

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.

Mansi Agarwal is a Senior Machine Learning Engineer at Red Hat, where she contributes to PyTorch upstream development. With over a decade of experience across leading semiconductor companies, she has worked extensively on both inference and training optimizations for AI accelerators. Her expertise lies in making AI models performant and functional across diverse hardware devices. Mansi holds an M.Tech from the Indian Institute of Science (IISc), Bangalore and has authored 2 IEEE papers.

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.

Arkadip Maitra is a MLE at Red Hat on the PyTorch engineering team, focusing on PyTorch and ecosystem projects. He has published research in CVPR, WACV and ACM, Springer transactions in areas including sign language AI and AI for humanitarian technology.

Software engineer at Pure Storage, open-source contributor, diversity advocate, AI speaker, data systems.

Sumantro Mukherjee is a PyTorch engineer focused on security, performance, and production readiness across the PyTorch ecosystem. He works at the intersection of frameworks/compilers and real-world deployment—reviewing changes and workflows that improve correctness, reliability, and measurable performance. He’s also active in the community as an organizer for PyTorch India and related meetups, helping bring together practitioners and contributors through talks, demos, and technical deep dives.

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.