Governing Board

Andrew is part of Arm’s Strategy & Ecosystem and Developer platforms leadership team, heading up  Arm’s Open Source Office and is responsible for Arm’s relationship and engagements with software communities. With over 25 years of deep engagement with open source communities under a variety of employers, through the years he has held various positions with a variety of projects and foundations. Currently he is the Chair of the Yocto Project and sits on the Board of the PyTorch Foundation, FreeBSD Foundation, Xen Project and on the TSC/TAC/SC of PyTorch, Zephyr, UXLFoundation. He has previously served on the Board of the Rust Foundation, OpenUK and openSUSE Project. To support his work with the various communities, Andrew is often at most of the open source events that are held globally.

Ankit Patel is a senior director at NVIDIA, leading developer engagement for SDKs, APIs, and tools. He joined NVIDIA in 2011, transitioning from GPU product manager to software product management in virtualization, ray tracing, and AI. Previously, he managed video editing and live production products at Matrox Video and Blackmagic Design. Ankit holds a bachelor’s degree in computer science from Concordia University and an MBA from Cornell University.

Brian Granger is a Senior Principal Technologist at Amazon Web Services and a professor of physics and data science at Cal Poly State University in San Luis Obispo, CA. He works at the intersection of UX design and engineering on tools for scientific computing, data science, machine learning, and data visualization. Brian is a co-founder and leader of Project Jupyter, co-founder of the Altair project for statistical visualization, and creator of the PyZMQ project for ZMQ-based message passing in Python.

Dwarak Rajagopal is a distinguished technology leader with over two decades of experience at some of the world’s most innovative companies, including Google, Meta, Uber, Apple, and AMD. As Vice President of AI Engineering at Snowflake, Dwarak oversees the AI and ML engineering organizations, helping drive innovation across Snowflake Cortex AI, Snowflake’s AI Research Team, and open source offerings. He previously served as Senior Engineering Director at Google, where he spearheaded the AI Frameworks and On-Device Machine Learning teams, driving cutting-edge advancements in AI and large language models (LLMs) to enhance efficiency across server and mobile platforms. Earlier in his career, Dwarak led Meta’s PyTorch Core Frameworks team, bridging the gap between AI research and production. His career also includes developing autonomous driving software at Uber, pioneering graphics technology at Apple, and shaping compiler innovations at AMD.

Dwarak is passionate about democratizing AI through open source initiatives and ensuring the ethical advancement of technology. His visionary leadership continues to shape the future of AI and empower global innovation.

Fred Li, General Manager of Open Source Development at Huawei’s Computing Product Line, brings over 20 years of technology and open-source experience since 2015. Serving as the platinum director of OpenStack Foundation and representing Huawei in PyTorch Foundation and LF AI & Data, he’s a pivotal figure in open source. Fred initiated the openEuler community in 2019, nurturing multiple open-source communities with thousands of engineers and millions of users. With expertise in IT product development, project management, and open-source strategy, Fred is committed to global open-source advocacy.

Jeff Gehlhaar is Senior Vice President of Engineering at Qualcomm, where he leads the development of Qualcomm’s AI software products. His team is responsible for delivering the comprehensive Qualcomm AI Stack, which includes quantization, optimization, runtime systems, accuracy debugging, performance analysis, and visualization tools. These capabilities span the entire Snapdragon portfolio of SoCs and support leading open-source runtimes such as LiteRT, Executorch, and ONNX Runtime.

Following his work on spiking neural network hardware and software research, Jeff initiated Qualcomm’s broader AI research efforts, helping to shape the company’s long-term strategy in machine learning and neural network acceleration.

Over his 34-year career at Qualcomm, Jeff has held key roles across software engineering, embedded systems, and hardware bring-up. He previously led the software research team behind LTE and LTE-Advanced networking protocols. Jeff is an inventor with several patents to his name and a proud graduate of the Jacobs School of Engineering.

Joseph Spisak is the Director of Product Management for AI at Meta. A veteran of the AI space with over 10 years experience, Joe led product teams at Meta/Facebook, Google and Amazon where he focused on open source AI, open science and building developer tools such as PyTorch to help the community scale up AI in an open and collaborative way. As the leader of product for PyTorch, he and the team built an amazing platform and community that made PyTorch the leading open source AI development framework in the industry and took it to the Linux Foundation. Joe is also an angel advisor to companies like Anthropic, Lastmile.AI (former FB), EvolutionaryScale (former FB), Udacity, Lightning.AI, and others.

Kismat works as VP S/W of AI Frameworks team at Intel. The team focuses on frameworks like PyTorch, TF and other inference/serving engines. Prior to Intel Kismat worked at Nvidia for 8 focusing on AI S/W frameworks/libs like TensorRT, Deep learning compiler etc.

Luca Antiga is the CTO at Lightning AI. He is an early contributor to PyTorch core and co-authored “Deep Learning with PyTorch” (published by Manning). He started his journey as a researcher in Bioengineering, and later co-founded Orobix, a company focused on building and deploying AI in production settings.

Lysandre is the Head of Open Source at Hugging Face. Lysandre has been at Hugging Face since the company’s pivot to open-source, and was the first engineer to focus entirely on the open-source mission. Now leading the open-source part of the organization, Lysandre remains technically involved by being a core maintainer of the Transformers library.

Niles Burbank is Director of Product Management at AMD, responsible for a family of data center GPU products. Based in Markham, Canada, he has been involved in the computer hardware industry since 1995 in a range of technical and management roles. Niles shares AMD’s passion for working together with the wider community to deliver the software and hardware tools that will advance AI. He holds an MASc in Electrical Engineering from the University of Toronto.

Onur Celebioglu is responsible for AI and HPC architecture and pathfinding in Dell’s ISG CTO group. Prior to that, he was responsible for the design, development and integration of Dell’s HPC, AI and Data Analytics solutions and lead the Dell AI and HPC Innovation Lab. Onur has been part of the team who started the AI solutions engineering program at Dell and has over 25 years of industry experience in AI and HPC. His main areas of expertise are application performance analysis, high speed interconnects, parallel file systems and cluster provisioning tools. Onur has worked extensively in AI and HPC product development, published technical articles in various publications, conferences and journals. Onur has a BS in Electrical Engineering from METU, Turkey and a MS in Electrical and Computer Engineering from Carnegie Mellon University.

Raghu Ganti, a Distinguished Engineer at IBM T. J. Watson Research Center, leads the development of tuning and training stack for LLMs on IBM’s Hybrid Cloud platform. He has extensive expertise in large scale distributed algorithms and his work on spatiotemporal data analysis has been included in 15+ IBM products.

Weizhu Chen is a Technical Fellow and Corporate Vice President at Microsoft, where he leads the company’s Post-Training initiatives in CoreAI. His team focuses on large-scale reinforcement learning and agentic training, advancing both research and product applications across Microsoft. His research has produced several groundbreaking contributions to the AI community, including LoRA, DeBERTa, Phi, and Rho-1.