
Developed and managed an automated daily metrics workflow for the semester-project-uprm_professional_portfolio repository, focusing on continuous integration and project health visibility. Leveraged GitHub Actions, Bash scripting, and Python to create a pipeline that generated and committed daily project metrics, providing early insights into repository activity. After evaluating its impact, the workflow was systematically retired, demonstrating disciplined feature lifecycle management. The work emphasized automation within CI/CD pipelines and showcased proficiency in YAML configuration and Git version control. This approach enabled data-driven monitoring while maintaining clean repository practices, reflecting a methodical and iterative engineering process over the course of the project’s development.
In September 2025, introduced and subsequently retired an automated daily metrics workflow for the semester-project-uprm_professional_portfolio repository. The initiative established a GitHub Actions-based pipeline to generate and commit daily project metrics, delivering early data-driven visibility of project health, followed by disciplined lifecycle management that removed the automation once evaluated.
In September 2025, introduced and subsequently retired an automated daily metrics workflow for the semester-project-uprm_professional_portfolio repository. The initiative established a GitHub Actions-based pipeline to generate and commit daily project metrics, delivering early data-driven visibility of project health, followed by disciplined lifecycle management that removed the automation once evaluated.

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