During May 2025, Tan Hoang focused on improving the model export workflow for the google-ai-edge/ai-edge-torch repository. He addressed a bug in the export process by refining how directory paths are handled, ensuring that directories are only created when explicitly specified. This adjustment, implemented in Python, enhanced error handling and file I/O reliability, preventing unintended directory creation and reducing export-time failures. By tightening the directory path checks for the TfLiteModel component, Tan’s work contributed to smoother automated deployments and more reliable CI processes for edge devices. The scope of work was targeted, with depth in robust bug fixing and deployment stability.