During August 2025, this developer contributed to PaddlePaddle/FastDeploy by implementing piecewise CUDA Graph Execution to enable dynamic optimization of static graphs. They refactored the CudaGraphPiecewiseBackend, introducing new Python classes and methods for managing CUDA graph states and execution, which improved code maintainability and separation of concerns. Their work established the foundation for runtime graph optimization, allowing static graphs to be split and executed in segments using CUDA, thereby preparing the backend for future performance improvements in inference workloads. The depth of the engineering focused on backend development, CUDA programming, and graph optimization, addressing maintainability and extensibility for future enhancements.