Megumi Oshima developed data-structure enhancements for length composition in Stock Synthesis data retrieval within the NOAA-FIMS/case-studies repository, enabling consistent formatting for downstream fisheries analysis. She established reproducible training infrastructure in MOshima-PIFSC/ISC_OSworkflow_training, setting up Quarto-based documentation, Apptainer environments for R and Stock Synthesis, and CI/CD pipelines using GitHub Actions. Her work focused on workflow automation and open science collaboration, including technical cleanup of Gitgraph visualizations to streamline configuration and maintainability. Throughout the two-month period, Megumi applied skills in R programming, containerization, and documentation, delivering foundational features that improved reproducibility and maintainability without introducing new bugs.