onnx/onnx
Jul 2025 – Jul 2025
1 Month active
Languages Used
CMake
Technical Skills
Build SystemsCMakeCross-compilation
Zoltán Böszörményi
PROFILE
Zoltán Böszörményi
Zoltán Boszorád focused on stabilizing and improving core infrastructure in open source machine learning projects over a two-month period. In the onnx/onnx repository, he enhanced cross-platform build reliability by refining CMake logic to correctly separate Python interpreter and development components, which resolved shared module naming issues during cross-compilation and reduced build failures across Windows, Linux, and macOS. Later, in ultralytics/ultralytics, he addressed dynamic batch inference stability for OpenVINO deployments by fixing inference mode logic in Python, reducing runtime errors and improving throughput. His work demonstrated depth in build systems, cross-compilation, and deep learning deployment, emphasizing robust, maintainable solutions.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
25
Activity Months2
Your Network
144 peopleShared Repositories
144
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Work History
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary for ultralytics/ultralytics. Primary deliverable this month was a critical bug fix to the AutoBackend OpenVINO path, stabilizing dynamic batch inference and enhancing performance and reliability. This work reduces runtime errors when processing variable batch sizes and improves throughput for OpenVINO deployments. The change focuses on the inference mode logic in the AutoBackend, addressing dynamic batching edge cases and aligning with OpenVINO backend requirements. Commit included: 8bd8dd753503a725feabe29806d3212aa20d1ff6 with message "Fix `autobackend.py` when using OpenVINO (#23505)".
1 Commits
Jan 1, 2026January 2026 monthly summary for ultralytics/ultralytics. Primary deliverable this month was a critical bug fix to the AutoBackend OpenVINO path, stabilizing dynamic batch inference and enhancing performance and reliability. This work reduces runtime errors when processing variable batch sizes and improves throughput for OpenVINO deployments. The change focuses on the inference mode logic in the AutoBackend, addressing dynamic batching edge cases and aligning with OpenVINO backend requirements. Commit included: 8bd8dd753503a725feabe29806d3212aa20d1ff6 with message "Fix `autobackend.py` when using OpenVINO (#23505)".
January 2026
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary: Delivered a critical cross-platform build stability improvement to onnx/onnx by correcting shared module naming during cross-compilation. The fix separates handling of Python interpreter and development components in CMake, ensuring correct shared module naming and reducing cross-build failures. This enhances portability across Windows/Linux/macOS targets, improves CI reliability, and accelerates multi-platform contributions.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary: Delivered a critical cross-platform build stability improvement to onnx/onnx by correcting shared module naming during cross-compilation. The fix separates handling of Python interpreter and development components in CMake, ensuring correct shared module naming and reducing cross-build failures. This enhances portability across Windows/Linux/macOS targets, improves CI reliability, and accelerates multi-platform contributions.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CMakePython
Technical Skills
Build SystemsCMakeCross-compilationPythondeep learningmachine learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
ultralytics/ultralytics
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
Pythondeep learningmachine learning