At HSBC, I developed AutoCrest, a microservice-based automation framework for regression and functional tests, which was integrated into the CI/CD pipeline to enhance software quality and resilience. I also incorporated deep learning model APIs into existing solutions, significantly improving accuracy. Additionally, I created and optimized bash scripts to automate deployments, monitor performance, and manage data backups, boosting deployment efficiency. A key achievement was the development of a containerized multiprocessing module, which drastically reduced the processing time of large PDF documents. Technologies used included Python, REST API, Bash, Jenkins, Docker, Kubernetes, Git, AWS, NLP Models, PyTorch, and Asyncio.