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I’m looking to streamline my [login to view URL] project with a clean, reliable GitLab CI/CD pipeline. The repository is already hosted on GitLab; what’s missing is a production-ready .[login to view URL] that can: • install dependencies, run unit / integration tests, and surface clear test reports • build the [login to view URL] app for both preview and production targets • package and publish a Docker image (or an alternative artifact) ready for deployment • leverage GitLab caching and artifacts to keep the pipeline fast and reproducible • pass environment variables and secrets securely through each stage You’re free to suggest best-practice improvements—parallel jobs, dynamic environments, or any optimisations that speed up feedback loops—so long as the final script remains easy for my team to maintain. Deliverables 1. A fully commented .[login to view URL] committed via merge request 2. Any auxiliary scripts or templates referenced by the pipeline 3. A brief README section that explains how the stages work and where to adjust variables Acceptance criteria: the pipeline must run successfully from a fresh clone, green-lighting all stages on GitLab without manual intervention. If this sounds straightforward for you, let’s connect and get the automation rolling.
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Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute the project. Thank you!!
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Hyderabad, India
Thành viên từ thg 3 21, 2026
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