containerization , PostgreSQL, Deep Learning, Pytorch, XGBoost, Testing, Python, Sql, Version Control, Kubernetes, ML modeling, scikit-learn, Monitoring frameworks, MLflow, Predictive fault incident analysis, Kubeflow, Evaluation frameworks, Time-series ML models, ML infrastructure, YugabyteDB, ClickHouse, LightGBM, anomaly detection, Model serving, Training pipelines, Feature handling