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7-8 April, 2025
Paris, France
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Tuesday, April 7
 

17:05 CEST

Poster Presentations: Applications & Case Studies
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  1. LegoLoaderX: a PyTorch DataLoader for Sparse Spatio-Temporal Data - Michelle Audirac, Harvard University
  2. Stress State Estimation from Deformed Surface Images Using Deep Learning - Bakhtiyar Mammadli, NOMATEN Centre of Excellence, National Centre for Nuclear Research
Speakers
MA

Michelle Audirac

Senior Data Scientist, Harvard University

avatar for Bakhtiyar Mammadli

Bakhtiyar Mammadli

PhD Student, NOMATEN Centre of Excellence, National Centre for Nuclear Research
Bakhtiyar Mammadli is a PhD student in Mechanical Engineering at the NOMATEN Centre of Excellence (NCBJ, Poland). His research focuses on applying machine learning to experimental mechanics, particularly unsupervised methods for analyzing strain fields from Digital Image Correlation... Read More →
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  Poster Presentations, Applications & Case Studies

17:05 CEST

Poster Presentations: Frameworks & Compilers
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  1. Automatic Comm-Compute Overlap and Bucketing in torch.compile - Elias Ellison & Ivan Kobzarev, Meta
  2. Flexible Custom Operators: custom ops with arbitrary inputs and outputs - Angela Yi & Richard Zou, Meta
  3. How Your Code Becomes a Kernel - Harshita Varma, Juspay; Nikita Verma, Individual
  4. TorchCodec: The Easy and Efficient Media Decoding Library for PyTorch - Daniel Flores & Molly Xu, Meta
  5. TorchDynamo Debugging Tools for Power Users - William Wen, Meta
  6. Accelerating GNN Workloads on ARM CPUs with PyTorch Geometric - Akash Agrawal, Fujitsu Research of India; Co-Authors: N Maajid Khan & Devang Choudhary, Fujitsu Research of India
  7. Reaching SOTA Normalization Performance with torch.compile -  Paul Zhang & Shunting Zhang, Meta

Speakers
avatar for Angela Yi

Angela Yi

Software Engineer, Meta
Angela has been on the PyTorch Compiler team for the past 3 years, working on torch.export and AOTInductor.
avatar for Richard Zou

Richard Zou

Software Engineer, Meta
I work on PyTorch.
avatar for William Wen

William Wen

Software Engineer, Meta
William works on the torch.compile team, specializing in TorchDynamo.
avatar for Nikita Verma

Nikita Verma

cloud native developer, Indian Institute of Technology bhubaneswar
Nikita Verma is an active contributor to the open-source community with a strong focus on Kubernetes and cloud-native technologies. She worked on developing forest growth simulations, automating configuration generation, and integrating CI/CD workflows. Nikita has volunteered at KubeCon... Read More →
avatar for Harshita Varma

Harshita Varma

Product Manager, Juspay
Harshita Varma is a contributor to the Kubernetes project, actively involved in the SIG Contributor Experience community, with a focus on enhancing the contributor journey. She began her open-source journey by contributing to the Thanos project, sparking her passion for open source... Read More →
avatar for Daniel Flores

Daniel Flores

Software Engineer, Meta
Daniel is a software Engineer at Meta working on Torchcodec. Previously, Daniel studied computer science at Brown University.
avatar for Ivan Kobzarev

Ivan Kobzarev

Software Engineer, Meta

avatar for Elias Ellison

Elias Ellison

Software Engineer, Meta
Elias has been working on the PyTorch team for four years, most recently on the torch.compile stack
avatar for Paul Zhang

Paul Zhang

Software Engineer, Meta
Paul Zhang is currently a software engineer working on PyTorch and Triton at Meta, ensuring that PyTorch and PT2 best utilizes the hardware it is run on. Previous to this, Paul has done extensive work on recommendation systems for training and inference, optimizing performance and... Read More →
MX

Molly Xu

Software Engineer, Meta

avatar for Akash Agrawal

Akash Agrawal

Software Engineer - II, Fujitsu Research of India Private Limited
Akash is a Software Engineer in Fujitsu Research of India, working actively on AI Framework Software Stack Optimization and Open-Source Software developments for FUJITSU-MONAKA – a 2 nanometer Armv9-A architecture-based CPU, for handling AI/HPC workloads and energy efficient co... Read More →
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  Poster Presentations, Frameworks & Compilers

17:05 CEST

Poster Presentations: GenAI & Multimodal
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  1. Unifying Modalities: Building Efficient Video Flows with PyTorch and Diffusion Transformers - David Brewster, Red Hat

Speakers
DB

David Brewster

Principal Software Engineer, Red Hat

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  Poster Presentations, GenAI & Multimodal

17:05 CEST

Poster Presentations: Inference & Production
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  1. A Tale of Two DSLs: A Comparative Study of vLLM GPU Performance with cuTile and CuTe DSL - Anil Vishnoi & Matthew Odden, Red Hat
  2. Bringing BitNet to ExecuTorch via Vulkan - Marcus Edel & Vineet Suryan, Collabora
  3. Building Production-Grade PyTorch Inference Pipelines for 100K+ Heterogenous Devices - Samaresh Kumar Singh, HP Inc.
  4. Feather: Software Emulated FP8 for Older GPUs - Suriyaa MM, Indian Institute of Technology Tirupati
  5. Model Compression API for a fast and precise inference in ExecuTorch - Daniil Liakhov & Aamir Nazir, Intel
  6. Near-Lossless MXFP4 Compression for Accelerated LLM Serving: Jointly Tuning Distribution Transforms - Felix Marty, AMD
  7. Recursive Language Models (RLMs): Scaling to Infinite Context via Programmatic Decomposition - Rudraksh Karpe, Simplismart, Shivay Lamba, Qualcomm
  8. When CPUs Win: Profiling Small Neural Network Inference Through PyTorch's Compiler and Runtime Stack - Dave Grove & Olivier Tardieu, IBM; Co-Authors: Vivek Mankar, Nethra Khandige, Pradipta Ghosh, & Anto Ajay Raj John, IBM
Speakers
avatar for Dave Grove

Dave Grove

Distinguished Research Scientist, IBM
David Grove is a Distinguished Research Scientist at IBM T.J. Watson, NY, USA. He has been a software systems researcher at IBM since 1998, specializing in programming language implementation and scalable runtime systems. He has authored more than sixty peer-reviewed publications... Read More →
avatar for Olivier Tardieu

Olivier Tardieu

Principal Research Scientist, Manager, IBM
Dr. Olivier Tardieu is a Principal Research Scientist and Manager at IBM T.J. Watson, NY, USA. He joined IBM Research in 2007. His current research focuses on cloud-related technologies, including Serverless Computing and Kubernetes, as well as their application to Machine Learning... Read More →
avatar for Shivay Lamba

Shivay Lamba

Senior ML Engineer, Qualcomm
Shivay Lamba is a software developer specializing in DevOps, Machine Learning and Full Stack Development.

He is an Open Source Enthusiast and has been part of various programs like Google Code In and Google Summer of Code as a Mentor and is currently a MLH Fellow. He has also worked at organizations like Amazon, EY, Genpact. He is a Tensorflow.JS SIG member and community lead from In... Read More →
avatar for Marcus Edel

Marcus Edel

Machine Learning Lead, Collabora
Marcus Edel is the the machine-learning lead at Collabora, where he leads the effort to optimise and apply deep networks for inference, with a focus on embedded devices. Marcus completed his graduate studies in 2020 with a focus on fast algorithms for core machine learning tasks applied... Read More →
avatar for Anil Vishnoi

Anil Vishnoi

Principal Software Engineer, RedHat Inc
Anil has been doing research, design and development of software networking products for more than 15 years at RedHat and his prior employers. Most of his career he has been working in Software Defined Networks, Data Center Networking, Network Virtualization and Cloud Networking domain... Read More →
avatar for Rudraksh Karpe

Rudraksh Karpe

Forward Deployed Engineer, Simplismart
Rudraksh is FDE at Simplismart, where he builds solutions focused on high-performance AI inference. He previously worked as an AI Engineer at ZS Associates. He was a two-time Google Summer of Code participant with the openSUSE Project and

He has presented internationally at events including OpenSearch Korea, openSUSE Conference, Early Adopter Tech Summit, PyCon US, PyCon Japan, and openSUSE Asia Summit, focusing on GenAI, open source, and cloud-native technologies... Read More →
avatar for Samaresh Kumar Singh

Samaresh Kumar Singh

Principal Engineer, HP Inc.
Samaresh Kumar Singh is an engineering principal at HP Inc. with more than 21 years of experience in designing and implementing large-scale distributed systems, cloud native platform systems, and edge AI / ML systems. His expertise includes agentic AI systems, GenAI / LLMs, Edge AI... Read More →
SM

Suriyaa MM

Student, Indian Institute of Technology Tirupati

avatar for Daniil Lyakhov

Daniil Lyakhov

AI Research Engineer/Scientist, Intel corporation

avatar for Felix Marty

Felix Marty

Senior Software Engineer, AMD
Felix Marty is a software engineer specialized in deep learning model compression, working on AMD Quark open-source model compression toolkit, and contributing to algorithms, evaluations, hardware deployment and open-source integrations. Prior to AMD, he used to work at Hugging Face... Read More →
avatar for Vineet Suryan

Vineet Suryan

Senior Software Engineer, Collabora


avatar for Aamir Nazir

Aamir Nazir

Research Engineer, Intel

MO

Mathew Odden

Principle Software Engineer, Red Hat

Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  Poster Presentations, Inference & Production

17:05 CEST

Poster Presentations: Responsible AI & Compliance
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  1. When Models Collaborate but Data Cannot: Explainable Ensemble Learning Under Privacy Constraints - Pavani Rajula, NeuCorelytix Solutions LLP

Speakers
avatar for Pavani Rajula

Pavani Rajula

AI Developer, NeuCorelytix Solutions LLP

I’m Pavani Rajula, a Data Science and AI Developer working with Data Migration International AG, currently working remotely from India. I have nearly six years of experience in data engineering, machine learning and artificial intelligence, including two years of professional experience... Read More →
Tuesday April 7, 2026 17:05 - 18:35 CEST
Open Platform
  Poster Presentations, Responsible AI & Compliance
 
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Tuesday, April 7
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Biblioteca Room at La Felicità
Central Room
Founders Cafe
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Lobby
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