
Developed and delivered a complete CI/CD automation solution for the profcomff/rating-api repository, focusing on a Dockerized FastAPI application. The work involved designing and implementing end-to-end pipelines using GitHub Actions and YAML, automating the build, test, and deployment processes across staging and production environments. By integrating automated testing and Docker image management, the solution enabled reproducible deployments and accelerated release cycles. This approach improved both development velocity and deployment reliability, ensuring rapid feedback and early detection of regressions. The project demonstrated practical application of CI/CD, DevOps, and Python skills, emphasizing environment separation, versioned deployments, and rollback capabilities.
April 2026: Delivered CI/CD automation for the Dockerized FastAPI app in profcomff/rating-api, enabling automated build, test, and deployment workflows that improve development velocity and deployment reliability across environments, delivering business value through faster, more reliable releases.
April 2026: Delivered CI/CD automation for the Dockerized FastAPI app in profcomff/rating-api, enabling automated build, test, and deployment workflows that improve development velocity and deployment reliability across environments, delivering business value through faster, more reliable releases.

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