Predictive Student Performance Machine Learning Pipeline

Develop a type-safe machine learning data processing pipeline in TypeScript for predicting student academic performance. Create strongly-typed interfaces for data ingestion, feature engineering, and model training that support multiple data sources and machine learning algorithms. Implement advanced type constraints that ensure data integrity, support type-level validation, and provide compile-time guarantees for feature extraction and model prediction processes.