Zhu Han worked on the triton-lang/triton repository, focusing on improving the robustness of the autotuner for CPU-only environments. He addressed a critical runtime error by introducing a default value for the do_bench parameter, ensuring the autotuner operates correctly when no GPU is detected. Using Python, Zhu Han expanded unit test coverage to verify CPU-path execution and prevent regressions, emphasizing backend development and performance optimization. His work delivered a targeted bug fix with clean, maintainable code, enhancing reliability for users running Triton on CPU-only systems. The depth of his contribution lay in both the technical solution and comprehensive testing approach.