In November 2025, Muchen Ran developed an NVIDIA H200 FP8-optimized fused Mixture of Experts (MoE) configuration for the jeejeelee/vllm repository, focusing on scalable machine learning inference. He introduced a dedicated JSON configuration file that defines block sizes, group sizes, and warp settings to maximize throughput and energy efficiency across varying input sizes. Leveraging skills in configuration management and model optimization, Muchen aligned the implementation with repository standards and ensured robust hardware-specific tuning. The work enabled faster, more efficient MoE inference on FP8 hardware, addressing production-scale performance needs without introducing bugs, and demonstrated depth in both technical design and execution.