zhaochenyang20/Awesome-ML-SYS-Tutorial
Mar 2025 – May 2025
2 Months active
Languages Used
MarkdownBash
Technical Skills
DocumentationDeep LearningMachine LearningModel Training
GeLee
PROFILE
Gelee
Worked on the Awesome-ML-SYS-Tutorial repository, focusing on enhancing the veRL-VLM model’s training setup and documentation. Expanded the training pipeline to support 8 GPUs for Qwen2.5VL GRPO models, improving throughput and experiment efficiency. Updated documentation in Markdown to clarify temporary bug fixes, training script status, and environment configuration, including CUDA_VISIBLE_DEVICES handling and compatibility adjustments for flashinfer-python with torch2.6. Prioritized maintainability by removing outdated references and streamlining guidance for future debugging and onboarding. Demonstrated proficiency in deep learning, model training, and Bash scripting, with a methodical approach to documentation-driven development and environment management over a two-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
84
Activity Months2
Your Network
66 peopleShared Repositories
66
RubiaCxMember
BBufMember
ChangyiYangMember
KuangjuXMember
guapisoloMember
pioodMember
Zhi YiliuMember
wyyMember
minleminzuiMember
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — Delivered a key training setup enhancement and documentation update for veRL-VLM, along with environment refinements to support higher throughput and reproducibility. No major bugs fixed this month; focus was on feature delivery and process improvement. Demonstrated solid proficiency in CUDA/PyTorch-based training pipelines, environment management, and clear documentation.
1 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary — Delivered a key training setup enhancement and documentation update for veRL-VLM, along with environment refinements to support higher throughput and reproducibility. No major bugs fixed this month; focus was on feature delivery and process improvement. Demonstrated solid proficiency in CUDA/PyTorch-based training pipelines, environment management, and clear documentation.
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on documentation-driven enhancements and maintenance for VeRL-VLM within the Awesome-ML-SYS-Tutorial repository. Efforts centered on clarifying bug-fix references, stabilizing status communication, and removing outdated material to reduce confusion for the broader team. Impact: improved maintainability and cross-team transparency, setting a clear path for follow-up validation work and future debugging tasks related to VeRL-VLM evaluation results.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on documentation-driven enhancements and maintenance for VeRL-VLM within the Awesome-ML-SYS-Tutorial repository. Efforts centered on clarifying bug-fix references, stabilizing status communication, and removing outdated material to reduce confusion for the broader team. Impact: improved maintainability and cross-team transparency, setting a clear path for follow-up validation work and future debugging tasks related to VeRL-VLM evaluation results.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdown
Technical Skills
Deep LearningDocumentationMachine LearningModel Training
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline