madeline-underwood/arm-learning-paths
Nov 2025 – Dec 2025
2 Months active
Languages Used
BashMarkdownPython
Technical Skills
Android DevelopmentC ProgrammingMachine LearningPython DevelopmentAI integrationdocumentation
jiaguo01
PROFILE
Jiaguo01
Jiaming Guo developed and enhanced technical documentation for the madeline-underwood/arm-learning-paths repository, focusing on accelerating LiteRT models on Android using KleidiAI and SME2. He authored comprehensive guides covering setup, model creation, and benchmarking, enabling reproducible performance testing and streamlined onboarding for ARM-learning-paths initiatives. Leveraging skills in Android development, C programming, and Python, Jiaming established end-to-end workflows that clarified deployment targets and improved developer velocity. In addition, he refined documentation across LiteRT, SME2, XNNPACK, and KleidiAI, standardizing terminology and improving readability. His work demonstrated depth in technical writing and AI integration, supporting platform extensibility and developer productivity.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
574
Activity Months2
Your Network
651 peopleSame Organization
@arm.com522
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Dec 2025 monthly summary for madeline-underwood/arm-learning-paths focusing on documentation clarity improvements across LiteRT, SME2, XNNPACK, and KleidiAI. Delivered targeted docs enhancements, improved terminology, and readability for Arm platform developers. Two commits applied to standardize terminology and fix formatting/grammar.
2 Commits • 1 Features
Dec 1, 2025Dec 2025 monthly summary for madeline-underwood/arm-learning-paths focusing on documentation clarity improvements across LiteRT, SME2, XNNPACK, and KleidiAI. Delivered targeted docs enhancements, improved terminology, and readability for Arm platform developers. Two commits applied to standardize terminology and fix formatting/grammar.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Nov 2025 monthly summary: Delivered LiteRT Android Acceleration Documentation for accelerating LiteRT models on Android with KleidiAI and SME2. The docs cover setup, model creation, and benchmarking, enabling faster onboarding, reproducible performance testing, and alignment with Android deployment targets. This work reinforces our platform’s extensibility and developer velocity for ARM-learning-paths initiatives.
November 2025
1 Commits • 1 Features
Nov 1, 2025Nov 2025 monthly summary: Delivered LiteRT Android Acceleration Documentation for accelerating LiteRT models on Android with KleidiAI and SME2. The docs cover setup, model creation, and benchmarking, enabling faster onboarding, reproducible performance testing, and alignment with Android deployment targets. This work reinforces our platform’s extensibility and developer velocity for ARM-learning-paths initiatives.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdownPython
Technical Skills
AI integrationAndroid DevelopmentC ProgrammingMachine LearningPython Developmentdocumentationtechnical writing
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