• Created and managed an automated MLOps pipeline to streamline the deployment of machine learning models, ensuring efficient and reliable updates.• Implemented the MLflow tracking server to store model versions, monitor stages, and manage artifacts in Amazon S3, enabling robust experiment tracking and model management.• Utilized AWS SageMaker to deploy machine learning models, facilitating real-time predictions through SageMaker endpoints.• Employed Docker to containerize models, enhancing portability and consistency across different environments.• Implemented an MLOps deployment pipeline using SageMaker Studio, optimizing the deployment andmanagement process.• Engaged in continuous learning to stay updated with best practices in MLOps, containerization, and automated deployment, applying this knowledge to enhance the deployment pipeline.

• Designed, developed, and maintained APIs using the MuleSoft Anypoint Platform that exposed and consumed data from various systems.• Created integration flows that connected different applications, systems, and services, enabling seamless data exchange and communication, using MuleSoft's Anypoint Studio to build complex data routing and transformation logic.• Implemented error-handling mechanisms to ensure the robustness and reliability of integration flows. This included handling exceptions, retries, managing failed messages gracefully, and logging and monitoring errors for troubleshooting and maintenance purposes.• Implemented data transformations using MuleSoft's DataWeave language to convert data between different formats and structures. This included mapping, filtering, and enriching data as it moved through integration flows.• Conducted unit testing and integration testing of developed MuleSoft applications to ensure their functionality and reliability. Debugged and resolved any issues identified during testing.• Followed MuleSoft's best practices and design patterns to ensure the maintainability, reusability, and scalability of integration solutions.• Utilized version control systems to manage source code and configuration files.• Collaborated with senior developers and solution architects to understand integration requirements and contributed to the design of integration solutions.• Worked closely with cross-functional teams, including QA testers and other developers, to ensure successful integration of systems and smooth data exchange.