Tomoki Nakamaru focused on Docker image optimization across six repositories, including agiresearch/AIOS, inclusionAI/AWorld, and kubernetes-sigs/kueue. He improved build efficiency by refining .dockerignore patterns to exclude Python caches, temporary files, and OS-generated artifacts, resulting in smaller images and faster deployments. Using Docker and Dockerfile, Tomoki addressed misconfigurations and standardized build hygiene, reducing CI/CD variability and operational overhead. His work involved both feature enhancements and bug fixes, demonstrating a methodical approach to cross-repository collaboration. The updates led to cleaner, more reliable Docker builds, with improved deployment velocity and stability, reflecting a strong understanding of containerization best practices.