Projects MLOps
01
MLOps for Federated Learning
Undergraduate final project: heart disease classification with Flower and MLflow. Implemented experiment tracking, best-model registration, and centralized container logs with Docker, Grafana Loki, and Alloy.
Project Preview 01 / 01
Ownership
Personal Project
Role
ML Engineer
Team
Independent Project
My Role
- 01 Built the federated learning training workflow.
- 02 Configured experiment tracking and model registration with MLflow.
- 03 Containerized services and centralized logs for local observability.
Features
- 01 Federated heart disease classification
- 02 Experiment tracking
- 03 Best-model registration
- 04 Centralized container logs
Impact
- Made model experiments reproducible.
- Created a practical MLOps workflow for federated learning.
Tech Stack
MLflowFlowerDockerGrafana LokiPythonScikit-learn