Muxue Xue developed a MoE Low-Latency Routing feature for the alibaba/rtp-llm repository, focusing on optimizing inference performance in Mixture of Experts models. By implementing token scattering and gathering across tensor-parallel processing units, Xue reduced inference latency and improved throughput for distributed deep learning workloads. The work involved updating the testing framework to validate the new routing mechanism end-to-end, ensuring robust deployment in production environments. Using Python and PyTorch, Xue also addressed a stability issue related to MoE operation, demonstrating a strong grasp of distributed systems and test-driven development. The project reflects depth in scalable machine learning engineering.