Technical Advisory Council

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.

Jeff Daily is a Fellow at AMD and the chief architect of the Machine Learning Software Engineering group supporting ML frameworks such as PyTorch and onnxruntime on AMD GPUs. He enjoys delivering open source software to answer the challenges of the rapidly-changing ML landscape. For over five years, he has contributed to the PyTorch core as well as its extension libraries. His sustained contributions earned him the first ever Linux Foundation PyTorch Award “for excellence in long-term contributions across all PyTorch modalities.” Though he has not achieved the status of maintainer, Jeff is a trusted contributor. Jeff’s technical leadership is one of the reasons PyTorch runs out of the box without any code modifications on AMD GPUs. In addition to PyTorch technical contributions, Jeff is the AMD representative for the PyTorch Foundation’s Technical Advisory Committee.

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.

Milos Puzovic is Technical Director at Arm where he is working on accelerating machine learning frameworks such as PyTorch on AArch64. In the past, he worked on designing and developing infrastructure for rapid development and deployment to edge devices and cloud of novel neural models that were trained using semi-supervised approach. He also has interest in optimizing applications through hardware and software co-design by using machine learning, code generation, optimization and verification of high-level models for different types of architecture. Milos has PhD in Computer Science from University of Cambridge where his thesis was on hardware/software interface for dynamic multicore scheduling and BSc with First Class Honors in Joint Mathematics and Computer Science from Imperial College London.

Olatunji (Tunji) Ruwase is a Principal Engineer at Snowflake, where he focuses on building high-performance AI infrastructure and systems for large-scale training and inference. Prior to joining Snowflake, he was a co-founder and lead of the DeepSpeed project at Microsoft, where his research and engineering contributions advanced the state of deep learning optimization across distributed training, inference, and hyperparameter tuning. His work has been deployed in key Microsoft products including Bing, Ads, HyperDrive, and Catapult. Tunji holds a PhD in Computer Science from Carnegie Mellon University and brings a deep background in compilers, operating systems, and hardware accelerators.

Piotr joined PyTorch team at NVIDIA in 2019 and currently manages the team. He drives NVIDIA’s effort in maintaining and advancing PyTorch’s CUDA backend and received the PyTorch SUPERHERO award in 2023 for his community contributions especially in the PyTorch discussion board. As a Core Maintainer, he is also focussed on PyTorch’s long-term vision and development.

Yikun Jiang is principal software engineer from Huawei computing opensource development team, working on multi-arch, heterogeneous hardware support and improvement of projects in computing area. He has more than 10 years experience in computing area, and leads an active and creative team in R&D under the principle of “upstream first”, which aims to make diverse computing power ubiquitous.