Pavan Singh updated the CycleGAN example in the keras-team/keras-io repository to ensure full compatibility with Keras 3 and the TensorFlow backend. He replaced deprecated imports and layers with their Keras 3 equivalents, carefully tuning the training configuration to 90 epochs to maintain model quality under the new API. Working primarily in Python and leveraging deep learning frameworks such as Keras and TensorFlow, Pavan addressed the migration goals of the project, reducing upgrade friction for users. The work demonstrated a focused approach to code modernization, with attention to both technical accuracy and the preservation of existing model performance standards.