microsoft/onnxruntime
Aug 2025 – Aug 2025
1 Month active
Languages Used
C++
Technical Skills
C++Data Type ManagementGraph Processing
kuanyul-qti
PROFILE
Kuanyul-qti
Kuanyu Lu focused on stability and correctness improvements in onnxruntime repositories, addressing critical issues in graph processing and build configuration. In microsoft/onnxruntime, he resolved a graph output data type mismatch by normalizing outputs to int32/uint32 and introducing a Cast operation to restore int64/uint64 types, ensuring compatibility for QNN-EP integrations and reducing downstream errors. In CodeLinaro/onnxruntime, he enhanced build robustness by updating CMake logic to gracefully handle missing QNN library files, preventing build failures and maintaining CI stability. His work leveraged C++, CMake, and data type management, demonstrating depth in system reliability and cross-platform integration.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
12
Activity Months2
Your Network
166 people
Work History
January 2026
1 Commits
Jan 1, 2026January 2026 — CodeLinaro/onnxruntime: Strengthened build robustness for QNN EP by handling missing QNN library files gracefully, reducing build failures and maintaining development momentum.
1 Commits
Jan 1, 2026January 2026 — CodeLinaro/onnxruntime: Strengthened build robustness for QNN EP by handling missing QNN library files gracefully, reducing build failures and maintaining development momentum.
January 2026
August 2025
1 Commits
Aug 1, 2025Monthly summary for 2025-08 focusing on microsoft/onnxruntime work. No new features delivered this month; a critical bug fix was implemented to resolve graph output data type mismatch, enhancing correctness and cross-EP compatibility. The change normalizes the last node's output to int32/uint32 and introduces a Cast back to int64/uint64, anchored by commit aee710e5da042defe6ed635661ac31447821d9a5. This improves stability and reduces downstream consumer errors for QNN-EP integrations. Key technologies include graph transformation, cast operations, and type-safe IR handling. Business impact includes improved reliability and compatibility for downstream models relying on 64-bit graph outputs.
August 2025
1 Commits
Aug 1, 2025Monthly summary for 2025-08 focusing on microsoft/onnxruntime work. No new features delivered this month; a critical bug fix was implemented to resolve graph output data type mismatch, enhancing correctness and cross-EP compatibility. The change normalizes the last node's output to int32/uint32 and introduces a Cast back to int64/uint64, anchored by commit aee710e5da042defe6ed635661ac31447821d9a5. This improves stability and reduces downstream consumer errors for QNN-EP integrations. Key technologies include graph transformation, cast operations, and type-safe IR handling. Business impact includes improved reliability and compatibility for downstream models relying on 64-bit graph outputs.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
C++CMakeData Type ManagementGraph Processingbuild system configuration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
CodeLinaro/onnxruntime
Jan 2026 – Jan 2026
1 Month active
Languages Used
CMake
Technical Skills
CMakebuild system configuration