During August 2025, this developer contributed to the PaddlePaddle/FastDeploy repository by implementing custom kernels for Multi-Turn Processing (MTP) on XPU hardware. Using C++ and CUDA, they engineered optimizations for draft model preprocessing, postprocessing, updating, and speculation-related operations, directly targeting throughput and latency improvements for XPU-enabled deployments. Their work addressed the need for efficient model inference and deep learning optimization on specialized hardware, laying a technical foundation for future acceleration. The depth of the implementation is reflected in the integration of new kernel logic and careful traceability to upstream commits, demonstrating a focused approach to performance engineering within the project.