Developed a dynamic Docker Compose generator for the samm393/mlebench-subversion repository, focusing on automating environment setup for Kaggle challenges. Leveraging Python scripting and YAML configuration, the solution generates docker-compose.yaml files based on task names and supports optional directory scaffolding, streamlining the onboarding process for new experiments. The approach generalized configuration handling to accept any Kaggle input string, enabling flexible and reproducible environment provisioning. By integrating DevOps practices and Docker tooling, the work established a scalable foundation for orchestrating task-driven experiments, reducing manual setup time and improving reproducibility for future challenges. No bug fixes were recorded during this period.