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FinRisk AI - Production MLOps Credit Risk System

Built a complete end-to-end MLOps pipeline for credit default prediction with real-time drift monitoring and sub-millisecond inference.

June 1, 20266 technologies
FinRisk AI - Production MLOps Credit Risk System screenshot

About the Project

Built a complete end-to-end MLOps pipeline for credit default prediction, incorporating experiment tracking (MLflow), hyperparameter tuning (Optuna), model registry, CI/CD to Azure, and real-time drift monitoring. Delivered production-ready, explainable AI with SHAP transparency and sub-millisecond inference via FastAPI.

Key Features

  • Responsive design that works on all devices
  • Optimized performance with lazy loading
  • Accessible and follows WCAG guidelines
  • Clean, maintainable codebase

Technologies Used

FastAPILightGBMMLflowDockerAzureEvidently AI