Adam Siemieniuk
AI Research Scientist at Intel Labs
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolAdam Siemieniuk is an AI research scientist based in Zurich with 10 years of experience building high-performance software for embedded and accelerator platforms. Currently at Intel Labs, he blends research-driven AI work with deep compiler and toolchain expertise—evidenced by contributions to the famed LLVM project where he improved the XeGPU dialect and added optimization passes for Intel GPU targets. His background spans embedded systems and firmware from roles at u-blox and Embedsoft, underpinned by an MSc in Embedded Systems from Eindhoven University of Technology. Pragmatic and detail-oriented, he thrives at the intersection of low-level systems, compiler internals, and AI workloads, often translating research ideas into production-grade optimizations.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Embedded Systems, Master of Science - MS, Embedded Systems at Eindhoven University of Technology
English, Polish
Github Skills (5)
compiler-optimization10
c-language10
cprogramming-language10
llvm10
vectorization9
Programming languages (5)
Github contributions (5)
llvm/llvm-project
Apr 2020 - Mar 2025
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:192 reviews, 59 PRs, 29 pushes in 5 years
Contributions summary:Adam primarily worked on the XeGPU dialect within the LLVM project, focusing on compiler and toolchain technologies. Their commits involve implementing and improving the XeGPU dialect by adding optimization passes, such as folding alias operations, and lowering vector operations. The contributions include defining and verifying tensor descriptor types, as well as refining existing operations. These changes improve the performance and functionality of the LLVM compiler for Intel XeGPU architectures.
compilerstechnologiesclangsubmittoolchain
adam-smnk/tpp-mlir
Nov 2022 - Mar 2025
Sandbox for TPP experimentation on ML model
Contributions:584 pushes, 163 branches in 2 years 4 months
experimentationdeep-learningsandboxmachine-learningtpp
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