Liang Shi upgraded the TensorFlow and Keras model loading protocol in the XENONnT/straxen repository, focusing on improving machine learning model deployment reliability. He introduced support for Keras 3, removed the legacy tf:// protocol, and implemented class registration from keras.tar.gz archives, streamlining the packaging process. Addressing compatibility issues with NumPy 2, Liang enhanced the flexibility and stability of model loading, particularly within the posrec plugin. Working primarily in Python and leveraging configuration management skills, he reduced runtime errors and maintenance overhead, enabling the straxen codebase to more easily integrate modern machine learning models into its data processing workflows.