During August 2025, this developer contributed to the PaddlePaddle/FastDeploy repository by building dynamic optimization capabilities for static computation graphs. They implemented piecewise CUDA Graph Execution, enabling static graphs to be split and executed in segments for improved runtime flexibility. Their work involved refactoring the CudaGraphPiecewiseBackend, introducing new classes and methods to manage CUDA graph states and execution cycles. Using Python and CUDA, they established a foundation for future performance improvements in model inference workloads. The depth of the work is reflected in the backend architecture changes, which enhanced maintainability and prepared the codebase for further graph optimization features.