Damian Szwichtenberg
AI Frameworks Engineer at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
RockstarDamian Szwichtenberg is an AI Frameworks Engineer with six years of experience building and optimizing ML infrastructure at Intel from Gdańsk, Poland. He focuses on accelerating graph neural network workloads and oneDNN graph integrations for Intel platforms, working across C++, Python, OpenMP, SYCL and PyTorch. As an active open-source contributor to the widely used PyTorch Geometric project, he improved performance-critical primitives like scatter, added SparseTensor support, and integrated VTune benchmarking—work that directly impacts GNN training efficiency. Practical and detail-oriented, Damian blends low-level performance engineering with higher-level ML framework design to make research-grade models run faster in production.
6 years of coding experience
Github Skills (14)
geometric-deep-learning10
pytorch10
machine-learning10
benchmarking10
benchmark10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
performance-optimization10
python10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (2)
Github contributions (5)
pyg-team/pytorch_geometric
Aug 2022 - Nov 2022
Graph Neural Network Library for PyTorch
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:42 reviews, 8 commits, 40 PRs in 3 months
Contributions summary:Damian primarily contributed to the optimization and improvement of the `pytorch_geometric` library, focusing on graph neural network implementations. Their work involved refactoring the `scatter` function, utilizing PyTorch's `scatter_reduce` implementation for performance gains, and introducing experimental features. They also addressed in-place operations, ensuring compatibility with the library's core functionalities and enabling experimental modes within the framework. Furthermore, they integrated VTune ITT into the benchmark scripts, and enabled SparseTensor support for enhanced training.
pytorchgraph-convolutional-networksgeometric-deep-learningdeep-learningneural-graph
DamianSzwichtenberg/pytorch_geometric
Aug 2022 - Mar 2024
Graph Neural Network Library for PyTorch
Contributions:4 PRs, 287 pushes, 28 branches in 1 year 7 months
pytorchdeep-learningneural-graphgraph-neural-networkgraph-neural-networks
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.