madeline-underwood/arm-learning-paths
Jun 2024 – Apr 2026
15 Months active
Languages Used
CMarkdownShellBashC++TXTCMakeAssembly
Technical Skills
Assembly languageC programmingEmbedded systemsMatrix multiplicationPerformance optimizationDevOps
Arnaud de Grandmaison
PROFILE
Arnaud De Grandmaison
Arnaud Degrandmaison developed and maintained the madeline-underwood/arm-learning-paths repository, delivering a suite of learning paths and tooling for ARM-based AI, computer vision, and performance optimization workflows. He engineered features such as SME2 matrix multiplication guides, Android and cross-platform build support, and AI camera pipeline migration to SME2, using C++, Assembly, and Bash. His work emphasized robust documentation, CI/CD automation, and device compatibility management, streamlining onboarding and ensuring reproducibility. By integrating Docker, GitHub Actions, and technical writing, Arnaud improved developer experience, reduced operational friction, and maintained high-quality, versioned content, demonstrating depth in embedded systems and performance-oriented software engineering.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
36Total
Bugs
9
Commits
36
Features
19
Lines of code
10,477
Activity Months15
Your Network
651 peopleSame Organization
@arm.com522
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for madeline-underwood/arm-learning-paths: Key features delivered: Added Samsung Galaxy S26 SME2 compatibility to the supported devices list, enabling native SME2 support for this device. Major bugs fixed: No major bugs fixed this month. Overall impact and accomplishments: Expanded SME2 device coverage, improved accuracy of compatibility data surfaced to users, contributing to higher user satisfaction and reduced support inquiries. Technologies/skills demonstrated: device data modeling and management, commit-based change traceability, and maintainability of compatibility metadata across releases. This work supports business goals to broaden SME2 adoption and improve onboarding for new devices.
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for madeline-underwood/arm-learning-paths: Key features delivered: Added Samsung Galaxy S26 SME2 compatibility to the supported devices list, enabling native SME2 support for this device. Major bugs fixed: No major bugs fixed this month. Overall impact and accomplishments: Expanded SME2 device coverage, improved accuracy of compatibility data surfaced to users, contributing to higher user satisfaction and reduced support inquiries. Technologies/skills demonstrated: device data modeling and management, commit-based change traceability, and maintainability of compatibility metadata across releases. This work supports business goals to broaden SME2 adoption and improve onboarding for new devices.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 (repo: madeline-underwood/arm-learning-paths) focused on stability and correctness. No new features delivered this month; main accomplishment was a critical rollback to SME2 device support by removing Samsung S26 from the native list, preventing potential instability and misalignment with SME2 expectations.
March 2026
1 Commits
Mar 1, 2026March 2026 (repo: madeline-underwood/arm-learning-paths) focused on stability and correctness. No new features delivered this month; main accomplishment was a critical rollback to SME2 device support by removing Samsung S26 from the native list, preventing potential instability and misalignment with SME2 expectations.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 — madeline-underwood/arm-learning-paths Key features delivered: - Arm KleidiAI integration documentation improvements for build and profiling: clarified build commands, profiling steps, and performance analysis to improve usability for developers and users. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Improved developer onboarding and performance analysis workflow by delivering clearer, actionable docs for building and profiling ONNX Runtime with Arm KleidiAI integration, enabling faster iteration and more reliable performance assessment. Technologies/skills demonstrated: - ONNX Runtime, Arm KleidiAI integration, build and profiling workflows, technical documentation, version control and collaborative review processes.
2 Commits • 1 Features
Jan 1, 2026January 2026 — madeline-underwood/arm-learning-paths Key features delivered: - Arm KleidiAI integration documentation improvements for build and profiling: clarified build commands, profiling steps, and performance analysis to improve usability for developers and users. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Improved developer onboarding and performance analysis workflow by delivering clearer, actionable docs for building and profiling ONNX Runtime with Arm KleidiAI integration, enabling faster iteration and more reliable performance assessment. Technologies/skills demonstrated: - ONNX Runtime, Arm KleidiAI integration, build and profiling workflows, technical documentation, version control and collaborative review processes.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025In December 2025, the arm-learning-paths repository delivered targeted CI/CD improvements and content updates that enhance efficiency, consistency, and learning experience. The month focused on tightening automation, reducing redundant work, and aligning the learning path with the broader Arm CCA stack.
December 2025
2 Commits • 1 Features
Dec 1, 2025In December 2025, the arm-learning-paths repository delivered targeted CI/CD improvements and content updates that enhance efficiency, consistency, and learning experience. The month focused on tightening automation, reducing redundant work, and aligning the learning path with the broader Arm CCA stack.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 - Arm Learning Paths: Focused on improving AI camera pipeline performance by migrating from KleidiAI/KleidiCV to Scalable Matrix Extension (SME2). The migration included updated documentation and build instructions to reflect the SME2-based architecture and its benefits, establishing groundwork for higher throughput and scalability in production workloads. No major bugs reported; stability enhanced through architectural alignment.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 - Arm Learning Paths: Focused on improving AI camera pipeline performance by migrating from KleidiAI/KleidiCV to Scalable Matrix Extension (SME2). The migration included updated documentation and build instructions to reflect the SME2-based architecture and its benefits, establishing groundwork for higher throughput and scalability in production workloads. No major bugs reported; stability enhanced through architectural alignment.
November 2025
October 2025
4 Commits • 2 Features
Oct 1, 2025Month 2025-10: Delivered multi-faceted updates to madeline-underwood/arm-learning-paths that broaden device support, stabilize documentation, and tighten CI. Key outcomes include Android support for SME2 Learning Path via Android NDK build adaptations, a Hugo build stabilization by removing duplicate content fields, versioned code examples for long-term compatibility, and CI improvements restricting the sweep job to the main repository to prevent forks from failing. These efforts improve cross-device accessibility, content reliability, and operational stability, accelerating learner adoption and reducing maintenance overhead.
October 2025
4 Commits • 2 Features
Oct 1, 2025Month 2025-10: Delivered multi-faceted updates to madeline-underwood/arm-learning-paths that broaden device support, stabilize documentation, and tighten CI. Key outcomes include Android support for SME2 Learning Path via Android NDK build adaptations, a Hugo build stabilization by removing duplicate content fields, versioned code examples for long-term compatibility, and CI improvements restricting the sweep job to the main repository to prevent forks from failing. These efforts improve cross-device accessibility, content reliability, and operational stability, accelerating learner adoption and reducing maintenance overhead.
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025 focused on delivering robust content infrastructure and enhanced learning paths in madeline-underwood/arm-learning-paths, with targeted fixes and feature work that improve content reliability, developer experience, and business value. Key work included block line numbering, YAML frontmatter parsing safety, SIMD loops documentation with new hardware support, Dockerfile path resolution for AI camera pipelines, and neural denoising learning path enhancements.
6 Commits • 3 Features
Sep 1, 2025September 2025 focused on delivering robust content infrastructure and enhanced learning paths in madeline-underwood/arm-learning-paths, with targeted fixes and feature work that improve content reliability, developer experience, and business value. Key work included block line numbering, YAML frontmatter parsing safety, SIMD loops documentation with new hardware support, Dockerfile path resolution for AI camera pipelines, and neural denoising learning path enhancements.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Focused on improving developer onboarding and maintainability of the arm-learning-paths learning path. Delivered a comprehensive Documentation Update for AI Camera Pipelines Learning Path that fixes references to codebase cloning, presents CMake configuration options in a structured table, adds a direct link to the AI camera pipelines repository, and includes example output images for the low-light image enhancement tool. No major bugs were fixed this month; the effort targeted reducing onboarding friction and strengthening configuration reliability. The single committed change af478a1f96557ebdb77c72fb604a7c67e9503e94 contributed to these improvements. Overall impact: faster onboarding, clearer setup guidance, and improved cross-repo discoverability.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month 2025-08: Focused on improving developer onboarding and maintainability of the arm-learning-paths learning path. Delivered a comprehensive Documentation Update for AI Camera Pipelines Learning Path that fixes references to codebase cloning, presents CMake configuration options in a structured table, adds a direct link to the AI camera pipelines repository, and includes example output images for the low-light image enhancement tool. No major bugs were fixed this month; the effort targeted reducing onboarding friction and strengthening configuration reliability. The single committed change af478a1f96557ebdb77c72fb604a7c67e9503e94 contributed to these improvements. Overall impact: faster onboarding, clearer setup guidance, and improved cross-repo discoverability.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: Monthly summary focusing on key accomplishments for madeline-underwood/arm-learning-paths. Delivered a new Arm SIMD Learning Path (SVE/SME) for high-performance matrix multiplication, enabling developers to optimize matrix ops on ARM and transition from Neon. Fixed critical documentation issues and streamlined CI to enhance reliability and reduce unnecessary compute. This month’s work improves developer onboarding, accelerates performance-focused competencies, and reduces operational overhead.
3 Commits • 1 Features
Jul 1, 2025July 2025: Monthly summary focusing on key accomplishments for madeline-underwood/arm-learning-paths. Delivered a new Arm SIMD Learning Path (SVE/SME) for high-performance matrix multiplication, enabling developers to optimize matrix ops on ARM and transition from Neon. Fixed critical documentation issues and streamlined CI to enhance reliability and reduce unnecessary compute. This month’s work improves developer onboarding, accelerates performance-focused competencies, and reduces operational overhead.
July 2025
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for the madeline-underwood/arm-learning-paths repo focusing on feature delivery, bug fixes, business impact, and technical skills demonstrated. Delivered a combined Learning Path Content Enhancements suite for CCA device attach and SME2 hardware guidance, along with documentation and tooling improvements that streamline onboarding and hardware benchmarking across native and emulated environments.
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for the madeline-underwood/arm-learning-paths repo focusing on feature delivery, bug fixes, business impact, and technical skills demonstrated. Delivered a combined Learning Path Content Enhancements suite for CCA device attach and SME2 hardware guidance, along with documentation and tooling improvements that streamline onboarding and hardware benchmarking across native and emulated environments.
April 2025
1 Commits • 1 Features
Apr 1, 2025Monthly summary for 2025-04: Delivered and documented a focused Learning Path aimed at accelerating AI camera pipelines on Arm platforms using KleidiAI and KleidiCV. The effort consolidates prerequisites, libraries, pipelines overview, build/run instructions, and performance analysis to reduce onboarding and integration time for AI-powered image processing tasks.
1 Commits • 1 Features
Apr 1, 2025Monthly summary for 2025-04: Delivered and documented a focused Learning Path aimed at accelerating AI camera pipelines on Arm platforms using KleidiAI and KleidiCV. The effort consolidates prerequisites, libraries, pipelines overview, build/run instructions, and performance analysis to reduce onboarding and integration time for AI-powered image processing tasks.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025This month focused on strengthening the Matrix library in the madeline-underwood/arm-learning-paths repository by improving initialization, test coverage, and documentation to enable more reliable, performance-conscious matrix operations within ARM learning paths.
March 2025
1 Commits • 1 Features
Mar 1, 2025This month focused on strengthening the Matrix library in the madeline-underwood/arm-learning-paths repository by improving initialization, test coverage, and documentation to enable more reliable, performance-conscious matrix operations within ARM learning paths.
February 2025
8 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for madeline-underwood/arm-learning-paths. Delivered three key features, significant documentation improvements, and codebase reorganizations that enhance adoption, portability, and performance guidance for Arm-based learning paths.
8 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for madeline-underwood/arm-learning-paths. Delivered three key features, significant documentation improvements, and codebase reorganizations that enhance adoption, portability, and performance guidance for Arm-based learning paths.
February 2025
November 2024
1 Commits • 1 Features
Nov 1, 20242024-11 Monthly summary for madeline-underwood/arm-learning-paths. Delivered a targeted enhancement to the Hugo dev server, enabling buildDrafts to be visible during both site builds and local server runs, improving the draft preview workflow for authors. This change reduces content iteration time and supports faster feedback loops with editors and reviewers.
November 2024
1 Commits • 1 Features
Nov 1, 20242024-11 Monthly summary for madeline-underwood/arm-learning-paths. Delivered a targeted enhancement to the Hugo dev server, enabling buildDrafts to be visible during both site builds and local server runs, improving the draft preview workflow for authors. This change reduces content iteration time and supports faster feedback loops with editors and reviewers.
June 2024
1 Commits • 1 Features
Jun 1, 2024June 2024 monthly summary for developer work across repositories. Delivered a comprehensive learning path for SME2 matrix multiplication in madeline-underwood/arm-learning-paths, emphasizing setup, compilation, and implementation using both assembly and intrinsics. The path includes practical examples, debugging tips, and optimization strategies to enable efficient matrix operations. No major bugs fixed for this repository this month. This work accelerates onboarding, enhances developer proficiency in low-level ARM programming, and contributes directly to performance-oriented learning and execution of SME2 matrix multiplications. Notable commit: 4de711a3b4998d9a0b66ba676f800cfd558bcc7b.
1 Commits • 1 Features
Jun 1, 2024June 2024 monthly summary for developer work across repositories. Delivered a comprehensive learning path for SME2 matrix multiplication in madeline-underwood/arm-learning-paths, emphasizing setup, compilation, and implementation using both assembly and intrinsics. The path includes practical examples, debugging tips, and optimization strategies to enable efficient matrix operations. No major bugs fixed for this repository this month. This work accelerates onboarding, enhances developer proficiency in low-level ARM programming, and contributes directly to performance-oriented learning and execution of SME2 matrix multiplications. Notable commit: 4de711a3b4998d9a0b66ba676f800cfd558bcc7b.
June 2024
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Quality Metrics
Correctness97.0%
Maintainability95.0%
Architecture94.4%
Performance92.8%
AI Usage22.8%
Skills & Technologies
Programming Languages
AssemblyBashCC++CMakeMarkdownPythonShellTXTYAML
Technical Skills
AI developmentARM ArchitectureAndroid DevelopmentAndroid developmentArm ArchitectureAssembly LanguageAssembly languageBuild SystemsC ProgrammingC programmingC++C++ DevelopmentC/C++ integrationCI/CDCMake
Repositories Contributed To
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