▪ Proficient in leveraging AWS and Azure cloud platforms for resource deployment and maintenance.▪ Proficiency in containerization technologies such as Docker for efficient deployment.▪ Experienced in developing machine learning solutions, utilizing Azure Machine Learning, Databricks and SageMaker.▪ Experienced in MLOps, integrating machine learning models into operational workflows.▪ Streamlining ML operations through CI/CD pipelines and Python scripting.▪ Ochestrating CI/CD flows using Azure DevOps.▪ Dedicated to continuous improvement, focusing on enhancing code quality, debugging, and implementing timely fixes.▪ Strong advocate of software engineering best practices including version control (GitHub), code review, and testing (linting, unit testing).▪ Contributed to the development of a generative AI and vision models for a PoC in collaboration with AWS.▪ Helped clients by providing suggestions and applying best practices when it comes to developing and operationalizing ML models.