Andrew Herrold contributed to the open-edge-platform/edge-ai-libraries repository by developing two new machine learning microservices, Isolation Forest and Random Forest, designed for modular deployment as Git submodules. He focused on enhancing the scalability and maintainability of edge ML capabilities, structuring the microservices for future updates and integration. Andrew also improved project documentation by standardizing naming conventions and updating the README with clearer Markdown links, supporting better onboarding and usability. While no bugs were addressed during this period, his work demonstrated depth in documentation practices and Git submodule management, laying a solid foundation for scalable microservice integration within the platform.