Zhihao Yang developed the Orbit Angle Prediction Module for the Julek-AK/AE2224-I-B04 repository, establishing a data-driven baseline for orbit angle forecasting using Python and PyTorch. He designed and implemented a neural network with multiple hidden layers and ReLU activation, creating a reusable training pipeline with SGD optimization and MSE loss. In addition to building the initial model, Zhihao refactored legacy LSTM prediction logic to prepare for future predictor integration, aligning data interfaces for maintainability. His work focused on data preprocessing, deep learning, and machine learning, providing a foundation for rapid experimentation and future enhancements in trajectory prediction workflows.