madeline-underwood/arm-learning-paths
Mar 2025 – Mar 2025
1 Month active
Languages Used
BashMarkdownPython
Technical Skills
API IntegrationArm ArchitectureCloud ComputingLLM DeploymentMachine Learning
Tianyu Li
PROFILE
Tianyu Li
Tianyu Li developed a comprehensive DeepSeek R1 ARM deployment learning path in the madeline-underwood/arm-learning-paths repository, guiding users through environment setup, building llama.cpp, and deploying large language models on Arm CPUs. Leveraging Python and Bash, Tianyu focused on API integration and ARM-specific performance optimizations to enhance inference throughput and latency. The work enabled OpenAI-compatible API access and improved cross-architecture support, broadening hardware compatibility for machine learning deployments. By delivering a concrete code contribution and detailed workflow, Tianyu facilitated faster onboarding for ARM deployments, demonstrating depth in cloud computing and LLM deployment while addressing practical challenges in real-world environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
519
Activity Months1
Your Network
568 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on key accomplishments and business impact.
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on key accomplishments and business impact.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
BashMarkdownPython
Technical Skills
API IntegrationArm ArchitectureCloud ComputingLLM DeploymentMachine Learning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline