MLOps Infrastructure
End-to-end ML platform with automated training, deployment, and monitoring
KubernetesKubeflowMLflowPythonGrafana
Built a complete MLOps platform on Kubernetes with Kubeflow, MLflow, and Seldon Core.
The platform supports the full ML lifecycle: experiment tracking, automated hyperparameter tuning, model registry, canary deployments, and drift monitoring.
Serving 15+ production models with automated retraining triggers based on data drift detection and performance degradation alerts.