madeline-underwood/arm-learning-paths
Dec 2025 – Jan 2026
2 Months active
Languages Used
BashMarkdown
Technical Skills
Android DevelopmentC++Machine LearningPerformance Engineeringdocumentationfile management
Zenon Xiu
PROFILE
Zenon Xiu
Zenon Xiu developed and refined a learning path for building and profiling ONNX Runtime on Android within the madeline-underwood/arm-learning-paths repository, focusing on integrating KleidiAI and SME2 to optimize mobile machine learning workloads. He established a repeatable workflow for performance profiling, leveraging C++ and Android development skills to surface and validate performance improvements. Zenon enhanced repository maintainability by normalizing file naming conventions and improving UI presentation of performance indicators, including references to profiling tools like prefetto. His work emphasized documentation, technical writing, and version control, resulting in a robust foundation for ongoing performance analysis and cross-platform reliability in mobile ML deployments.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
3
Lines of code
383
Activity Months2
Your Network
651 peopleSame Organization
@arm.com522
Work History
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for madeline-underwood/arm-learning-paths focusing on UI polish, repository hygiene, and consistency enhancements that improve performance analysis readiness and cross-platform reliability.
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for madeline-underwood/arm-learning-paths focusing on UI polish, repository hygiene, and consistency enhancements that improve performance analysis readiness and cross-platform reliability.
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a new learning path for building and profiling ONNX Runtime on Android with KleidiAI and SME2, enabling improved performance for mobile ML workloads. Validated profiling workflows and established a repeatable pattern for Android optimization in the arm-learning-paths repo, setting the foundation for ongoing performance gains in mobile deployments.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a new learning path for building and profiling ONNX Runtime on Android with KleidiAI and SME2, enabling improved performance for mobile ML workloads. Validated profiling workflows and established a repeatable pattern for Android optimization in the arm-learning-paths repo, setting the foundation for ongoing performance gains in mobile deployments.
Activity
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Quality Metrics
Correctness100.0%
Maintainability96.0%
Architecture96.0%
Performance100.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
BashMarkdown
Technical Skills
Android DevelopmentC++Machine LearningPerformance Engineeringdocumentationfile managementperformance profilingtechnical writingversion control
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