Governing Board

Brian Granger, Amazon Web Services

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.

Niles Burbank, AMD

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.

Alex Spinelli, Arm

Alex is the Senior Vice President of AI and Developer Technologies at Arm, where he is responsible for helping developers build their best AI experiences and software applications on the most ubiquitous computing platform on the planet, from Cloud to Edge. Prior to Arm, Alex was VP of Product Management for Machine Learning at Google. At Google he was responsible for TensorFlow and the technologies and infrastructures that power Google’s machine learning and AI services. Alex previously led product and engineering for LivePerson, FastCompany’s #1 ranked AI company for 2022, where he built technology to enable enterprises to build their own conversational assistants. He held positions at Amazon, leading the core software platforms for Alexa, and product and engineering for Amazon’s Search. At Thomson Reuters, Alex oversaw product and technology for news and media, including ultra-low latency AI-driven news categorization and synthetic news for financial professionals. Alex started his career as a software engineer in New York City and he has an MBA from Duke University.

Dwarak Rajagopal, Google

Dwarak Rajagopal, a seasoned technology leader, boasts over 20 years of experience with pivotal roles at Google, Meta/Facebook, Uber, Apple, and AMD. Currently a Sr. Engineering Director at Google, he leads AI Frameworks and OnDevice ML teams, driving innovations in AI and LLMs on server/mobile for efficiency. At Meta/Facebook, he led the PyTorch Core Frameworks team, advancing AI research to production. His contributions span self-driving software at Uber, graphics technology at Apple, and compiler development at AMD. Dwarak's dedication to democratizing AI, open-source software, and ethical practices defines his commitment to shaping the future of technology.

Fred Li, Huawei

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.

Lysandre Debut, Hugging Face

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.

Kismat Singh, Intel

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.

Raghu Ganti, IBM

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.

Luca Antiga, Lightning AI

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.

Damien Sereni, Meta

Supporting the PyTorch team within Meta. In the past Damien has worked on compilers, static analysis, programming languages, virtual machines and developer tools. Damien is passionate about developer productivity and building strong organizations to support developers.

Steve Wan, Microsoft Azure

Steve Wan leads AI at Scale business development at Microsoft, aiming to empower developers to efficiently train and deploy machine learning models at unmatched scale on Azure. A pivotal aspect of this strategy involves enabling and innovating on PyTorch.

Ankit Patel, NVIDIA

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.

Governing
Board