Sławomir Siwek
AI Software Solutions Engineer at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolSławomir Siwek is an AI Software Solutions Engineer based in Gdańsk with eight years of experience building and optimizing deep learning systems, currently at Intel. He progressed from intern to engineer to solutions lead, contributing hands-on to performance-critical parts of frameworks—most notably improving kernels and fused operations in the widely used PaddlePaddle project. His background blends biomedical engineering (MSc) with practical software craftsmanship, spanning C#, .NET, and high-performance ML back-end work. Colleagues rely on him for pragmatic optimizations that translate research ideas into production-ready, maintainable code. An avid contributor to open-source deep learning tooling, he excels at squeezing latency and memory gains from complex compute paths.
8 years of coding experience
3 years of employment as a software developer
Magister inżynier (Mgr inż.), Inżynieria Biomedyczna, spec. Sztuczna Inteligencja, Magister inżynier (Mgr inż.), Inżynieria Biomedyczna, spec. Sztuczna Inteligencja at Politechnika GdańskaTechnik, Computer Science, Technik, Computer Science at Zespół Szkół Mechaniczno-Elektrycznych w ŻywcuInżynier (Inż.), Inżynieria Biomedyczna, spec. Informatyka i Aparatura Medyczna, Inżynier (Inż.), Inżynieria Biomedyczna, spec. Informatyka i Aparatura Medyczna at Politechnika Śląska w Gliwicach
English, Polish
Github Skills (11)
paddlepaddle10
machine-learning10
deep-learning10
edn10
python10
efficientnet9
cprogramming-language9
neural-network9
c-language9
convolutional-neural-networks9
distributed-training8
Programming languages (4)
Github contributions (5)
PaddlePaddle/Paddle
Nov 2021 - Jan 2023
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:227 reviews, 61 commits, 92 PRs in 1 year 2 months
Contributions summary:Sławomir's commits primarily focused on enhancing the performance and functionality of the PaddlePaddle deep learning framework. They replaced custom reordering operations with built-in oneDNN reorders, optimized convolution transpose operations, and introduced new kernels and fuse passes for Mish activation functions. These changes include the addition of unit tests for new features and refactoring to improve performance and code maintainability.
pytorchpythonparalleldeep-learningpaddlepaddle
Silv3S/Paddle
Nov 2021 - Apr 2023
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Contributions:882 pushes, 327 branches in 1 year 4 months
pytorchparalleldeep-learningreinforcement-learningindustrial
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