During July 2025, Guangyang contributed to the pytorch/executorch repository by expanding the Android demo app’s capabilities to support the SMOLLM_3 model, introducing new model types and prompt formats. He addressed compatibility issues to ensure stable integration, focusing on robust Android development practices and Java-based implementation. To enhance long-term maintainability and performance, Guangyang managed dependencies by pinning optimum-executorch to the latest commit, reducing risk from upstream changes. His work demonstrated a methodical approach to dependency management, version control, and model-format support, resulting in a more versatile demo app foundation and improved user experience, though the scope was limited to targeted feature delivery.