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Xiao Li

PROFILE

Xiao Li

Over a two-month period, this developer focused on improving build reliability and runtime stability across two open-source projects. For facebook/fbthrift, they resolved persistent build failures in the Python extension by refining CMake and setup.py configurations, leveraging environment variables for compiler flags and removing redundant arguments to ensure consistent cross-platform builds. In jeejeelee/vllm, they enhanced inference robustness by restricting a Triton kernel call to CUDA tensors, preventing errors when handling non-CUDA logits and improving deployment reliability on both CPU and GPU. Their work demonstrated strong skills in Python, CMake, and deep learning, emphasizing defensive programming and maintainable build systems.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

2Total
Bugs
2
Commits
2
Features
0
Lines of code
45
Activity Months2

Your Network

5092 people

Work History

February 2026

1 Commits

Feb 1, 2026

February 2026 monthly summary for jeejeelee/vllm: Stabilized inference path by restricting apply_top_k_top_p_triton to CUDA tensors, preventing errors when logits are non-CUDA tensors; delivered patch and commit 30132cd144af8876e7c0d2aac28cabaea3710254. This change enhances reliability across CPU and GPU deployments and reduces runtime exceptions.

February 2025

1 Commits

Feb 1, 2025

February 2025 (2025-02) monthly summary for facebook/fbthrift: Key feature delivered: Fix Python extension build configuration by leveraging environment variables for compiler flags in CMakeLists.txt and setup.py, and remove unnecessary compile arguments to ensure reliable builds. Major bug fixed: Python extension build configuration across environments, reducing build failures. Overall impact: more reliable Python bindings, smoother installations for users, and reduced CI noise, enabling faster iteration on Python integrations. Technologies/skills demonstrated: CMake, Python packaging, environment-driven build flags, and cross-platform build reliability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CMakePython

Technical Skills

Build SystemsC++CMakeDeep LearningMachine LearningPython

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

facebook/fbthrift

Feb 2025 Feb 2025
1 Month active

Languages Used

CMakePython

Technical Skills

Build SystemsC++CMakePython

jeejeelee/vllm

Feb 2026 Feb 2026
1 Month active

Languages Used

Python

Technical Skills

Deep LearningMachine LearningPython