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 and adjusted the training configuration to 90 epochs, maintaining 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 careful attention to API changes and training dynamics, resulting in a robust, up-to-date example.