mlops

MLOps infrastructure engineering covering model serving (vLLM, TorchServe, Triton), feature stores, model registries (MLflow, W&B), A/B and shadow deployments, drift detection, Prometheus/Grafana ML metrics, Kubeflow Pipelines, and Airflow DAGs for end-to-end training and deployment pipelines.