mirage-project/mirage
Apr 2026 – Jun 2026
2 Months active
Languages Used
C++PythonCUDA
Technical Skills
C++ DevelopmentCUDADeep LearningMachine LearningPython DevelopmentCUDA programming
Zhanming (Jerry) Liang
PROFILE
Zhanming (jerry) Liang
Worked on the mirage-project/mirage repository, focusing on production stability and correctness for Mixture of Experts (MoE) models over a two-month period. Addressed critical edge-case failures in MoE top-k routing on SM100 hardware, improving routing accuracy and reducing incident rates in deployment. Enhanced multi-GPU training reliability by fixing tensor parallelism issues, such as preventing write races and eliminating residual double-counting across ranks. Expanded regression test coverage to ensure robust behavior for both single- and multi-GPU scenarios. Leveraged C++, CUDA, and Python to deliver targeted bug fixes, laying a solid foundation for future MoE feature development and deployment scalability.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
0
Lines of code
155,803
Activity Months2
Your Network
114 peopleSame Organization
@andrew.cmu.edu90
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Shared Repositories
24
Work History
June 2026
3 Commits
Jun 1, 2026June 2026 performance and reliability improvements for Mirage: delivered core stability and correctness fixes for MoE tensor parallelism, expanded regression coverage, and ensured multi-GPU behavior aligns with the single-GPU baseline. These changes reduce race conditions, prevent residual double-counting across ranks, and provide robust test coverage for future tensor-parallel developments.
3 Commits
Jun 1, 2026June 2026 performance and reliability improvements for Mirage: delivered core stability and correctness fixes for MoE tensor parallelism, expanded regression coverage, and ensured multi-GPU behavior aligns with the single-GPU baseline. These changes reduce race conditions, prevent residual double-counting across ranks, and provide robust test coverage for future tensor-parallel developments.
June 2026
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for mirage-project/mirage focused on bug fixes and stability improvements. Delivered a critical fix to the MoE top-k routing edge cases on SM100, significantly improving robustness and routing accuracy. No new features released this month; main impact comes from hardening production reliability and reducing edge-case failures in the Mixture of Experts model. Committed changes tied to issue #664.
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for mirage-project/mirage focused on bug fixes and stability improvements. Delivered a critical fix to the MoE top-k routing edge cases on SM100, significantly improving robustness and routing accuracy. No new features released this month; main impact comes from hardening production reliability and reducing edge-case failures in the Mixture of Experts model. Committed changes tied to issue #664.
Activity
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage35.0%
Skills & Technologies
Programming Languages
C++CUDAPython
Technical Skills
C++ DevelopmentCUDACUDA programmingDeep LearningGPU programmingMachine LearningMachine learningParallel computingPython Developmentmachine learningtesting
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