During May 2026, this developer contributed to the Tencent/ncnn repository by implementing a feature that converts PReLU layers with a single parameter into LeakyReLU layers, enabling fusion with convolutional layers and improving inference performance in deep learning workflows. The work involved developing C++ utilities to handle precise parameter serialization, normalizing floating-point representations to reduce inconsistencies during model export and import. While no major bugs were addressed, minor maintenance and quality improvements were made as needed. The focus on C++, deep learning, and machine learning ensured robust model handling and optimization potential, particularly within PNNX inference and model conversion pipelines.