From Raw Data to Model Serving: A Blueprint for the AI/ML Lifecycle with

Post maps out a Kubeflow Pipelines workflow on Spark, Feast, and KServe. It tackles fraud detection end-to-end: data prep, feature store, live inference. It turns infra into code, ensures feature parity in train and serve, and registers ONNX models in the Kubeflow Model Registry.