Java, Microservices, MLops, Docker, Databricks, Rest Apis, Kubernetes, Python, MLflow, GenAIOps, SageMaker, Kubeflow

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection