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Stefan Liebler

PROFILE

Stefan Liebler

Worked on the onnx/onnx repository to address critical issues affecting big-endian architectures, focusing on s390x systems. Using C++ and Python, resolved test suite failures by correcting byte swapping in tensor creation and refactoring tensor-related tests to ensure accurate endianness representation. Further stabilized cross-platform compatibility by updating the ml_dtypes dependency to version 0.5.4 specifically for s390x, aligning with upstream fixes and improving CI reliability. Demonstrated expertise in big-endian systems, dependency management, and software testing, resulting in more robust multi-architecture support and reduced CI noise for enterprise deployments. No new features were added during this period.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

2Total
Bugs
2
Commits
2
Features
0
Lines of code
160
Activity Months2

Your Network

128 people

Same Organization

@linux.ibm.com
83
Aboorva DevarajanMember
Aditya BodkheMember
Aditya GuptaMember
Abhishek DubeyMember
Alexander GordeevMember
Andrew DonnellanMember
Aleksei NikiforovMember
Farhan AliMember
Amit MachhiwalMember

Work History

November 2025

1 Commits

Nov 1, 2025

November 2025 monthly summary for onnx/onnx: Implemented an arch-specific dependency update to stabilize the s390x big-endian tests by upgrading ml_dtypes to 0.5.4. This targeted change addresses test suite failures and aligns with prior fixes in both ONNX and ml_dtypes releases, improving CI reliability and cross-architecture compatibility.

September 2025

1 Commits

Sep 1, 2025

September 2025 monthly summary for onnx/onnx: Delivered a critical fix to big-endian tensor handling, eliminating test failures on s390x by correcting byte swapping in tensor creation and refactoring make_tensor and related tests to ensure correct endianness representation. This work stabilizes cross-architecture behavior and enhances platform coverage, reducing CI noise and improving reliability for enterprise deployments on big-endian systems.

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Big-Endian SystemsC++PythonTensor ManipulationTestingcross-platform compatibilitydependency managementsoftware testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

onnx/onnx

Sep 2025 Nov 2025
2 Months active

Languages Used

C++Python

Technical Skills

Big-Endian SystemsC++PythonTensor ManipulationTestingcross-platform compatibility