Developed a machine learning system for 1-hour Apple (AAPL) stock price prediction using Python, TensorFlow, FastAPI, and Docker. Built the complete workflow including data collection, preprocessing, feature engineering, model training, evaluation, and API deployment. Containerized the application and designed scalable backend services for model inference and integration.