Experienced 4 Machine Learning Engineer proficient in implementing end-to-end ML pipelines within MLOps lifecycle, from data preprocessing to model deployment and monitoring. Skilled in developing and maintaining automation scripts using Python and Bash to streamline operational tasks and deployments. Hands-on expertise with cloud platforms like Google Cloud Platform (GCP), Azure ML, and AWS, including AWS SageMaker for orchestrating complex ML workflows. Proficient in Python programming and utilizing tools such as MLflow, Kubeflow, TensorBoard, and Pandas for efficient management of machine learning workflows and visualization of model performance.