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+ 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.
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+ 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.
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+ 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.
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+ 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.
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+ Kismet 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.
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+ 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.
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+ 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.
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+ 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.
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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.
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+ 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.
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@@ -71,93 +174,12 @@ Ankit Patel, NVIDIA
- 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.
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- Wei Li, Intel
-Dr. Wei Li, VP/GM of AI Software Engineering at Intel, leads a top-tier team enhancing AI performance like LLM and developer efficiency to enable an AI Everywhere future. He also drives engagements with industry and ecosystem leaders, including those from PyTorch, TensorFlow/JAX, DeepSpeed, Hugging Face to various Gen AI startups. With a Ph.D. on supercomputer from Cornell University, he's a renowned lecturer and speaker at universities such as Harvard and Stanford and events including the Fortune and AI Summits. A life-long champion of open-source, Wei serves on the boards of the PyTorch Foundation and Linux Foundation AI&Data.
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- 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.
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- 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.
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- 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.
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- Aparna Ramani, Meta
-Aparna Ramani, VP of Engineering and Data Infrastructure at Meta Platforms, Inc., previously served as Senior Director of Engineering at Cloudera, Inc., overseeing product development for a leading big data platform. With management experience at Yahoo! and Microsoft, and software engineering roles at Fujitsu Network Communications and Koninklijke Philips, she brings a diverse background. A holder of an MS in Computer Science from Arizona State University, Ramani is instrumental in shaping technology landscapes.
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- 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.
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