
Developed automated infrastructure for the AIS-SNU/AIS-lab-website repository, focusing on streamlining the build, deployment, and citation management processes. Leveraged Docker to ensure consistent builds across environments and integrated GitHub Actions to establish a robust CI/CD pipeline. Automated the updating of the publication list to include new papers from ApJ and DSN, reducing manual intervention and deployment friction. Utilized Bash scripting and YAML configuration to orchestrate workflows, enhancing reliability and reproducibility. No major bugs were reported during this period, reflecting careful implementation. The work demonstrates strong DevOps practices and effective use of automation for academic website content management.
June 2026 monthly summary for AIS-lab-website: Delivered automated infrastructure to build, deploy, and manage citations for the lab site using a Docker-based environment and GitHub Actions CI/CD. Implemented automated publication updates to incorporate new papers from ApJ and DSN, ensuring the site stays current with minimal manual effort. This work reduces deployment friction, improves reliability, and accelerates visibility of new publications. No major bugs reported in this period; automation lowers risk of manual deployment errors and enhances reproducibility across environments. Technologies and practices demonstrated include Docker, GitHub Actions, CI/CD pipelines, and automation for content updates, reflecting strong DevOps and release-engineering capabilities.
June 2026 monthly summary for AIS-lab-website: Delivered automated infrastructure to build, deploy, and manage citations for the lab site using a Docker-based environment and GitHub Actions CI/CD. Implemented automated publication updates to incorporate new papers from ApJ and DSN, ensuring the site stays current with minimal manual effort. This work reduces deployment friction, improves reliability, and accelerates visibility of new publications. No major bugs reported in this period; automation lowers risk of manual deployment errors and enhances reproducibility across environments. Technologies and practices demonstrated include Docker, GitHub Actions, CI/CD pipelines, and automation for content updates, reflecting strong DevOps and release-engineering capabilities.

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