LMCache/LMCache
May 2025 – May 2025
1 Month active
Languages Used
HTMLJavaScriptPython
Technical Skills
Backend DevelopmentBug FixFrontend DevelopmentModel ConfigurationPerformance Optimization
Yifan Cui
PROFILE
Yifan Cui
Worked on performance optimization and reliability improvements for transformer model infrastructure. In the LMCache/LMCache repository, addressed KV cache sizing by updating configuration loading and calculation logic in Python and C++ to accurately estimate cache requirements for Qwen3 series and DeepSeek-V3 models, reducing mis-sizing risks and improving inference predictability. Later, contributed to kvcache-ai/sglang by optimizing the TopK kernel in CUDA, reducing shared memory usage from 128KB to 32KB to increase GPU occupancy and throughput for candidate processing. Demonstrated backend development and GPU programming skills, focusing on maintainability, cross-team collaboration, and measurable performance gains without introducing regressions.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
245
Activity Months2
Your Network
529 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01\n\nKey features delivered:\n- TopK Kernel Performance Optimization in kvcache-ai/sglang: Reduced shared memory usage from 128KB to 32KB to boost GPU occupancy and throughput for TopK candidate processing in the threshold bin. (PR #17747) Commit: 45fe51a28e43c02a8aa7060a0b4ff06379926540; Co-authored by Claude.
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01\n\nKey features delivered:\n- TopK Kernel Performance Optimization in kvcache-ai/sglang: Reduced shared memory usage from 128KB to 32KB to boost GPU occupancy and throughput for TopK candidate processing in the threshold bin. (PR #17747) Commit: 45fe51a28e43c02a8aa7060a0b4ff06379926540; Co-authored by Claude.
January 2026
May 2025
1 Commits
May 1, 2025May 2025 focused on stabilizing KV cache sizing for transformer models in LMCache/LMCache. Delivered a corrected KV cache size estimation that now properly handles Qwen3 series models and DeepSeek-V3, with adjustments to configuration loading and calculation logic to accommodate model-specific parameters. This enhances accuracy and reliability across architectures, reducing mis-sizing risks and improving inference throughput and predictability for deployment of diverse models across teams.
May 2025
1 Commits
May 1, 2025May 2025 focused on stabilizing KV cache sizing for transformer models in LMCache/LMCache. Delivered a corrected KV cache size estimation that now properly handles Qwen3 series models and DeepSeek-V3, with adjustments to configuration loading and calculation logic to accommodate model-specific parameters. This enhances accuracy and reliability across architectures, reducing mis-sizing risks and improving inference throughput and predictability for deployment of diverse models across teams.
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++HTMLJavaScriptPython
Technical Skills
Backend DevelopmentBug FixCUDAFrontend DevelopmentGPU programmingModel ConfigurationPerformance OptimizationPerformance optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
kvcache-ai/sglang
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++
Technical Skills
CUDAGPU programmingPerformance optimization