During December 2025, Yuttian focused on enhancing the jeejeelee/vllm repository by addressing a compatibility issue affecting AMD ROCm support for AWQ MoE models. He implemented a runtime guard in marlin_utils using Python, introducing checks that prevent unsupported layers from executing on ROCm platforms. This backend development work, which leveraged his skills in machine learning and quantization, aimed to preserve model execution integrity and reduce the risk of runtime failures on AMD hardware. By ensuring that only compatible layers are processed, Yuttian improved the reliability and stability of AWQ MoE deployments, demonstrating careful attention to hardware-specific constraints.