Worked on the vast-cli repository to address data quality issues by aligning geographical region definitions with the full set of UN-recognized country codes. This update improved the accuracy and consistency of regional search offers, enabling more reliable region-based filtering and analytics. The solution involved backend development and data validation using Python, with careful API integration to ensure minimal disruption to existing workflows. The change was scoped to a single, reviewable commit to reduce regression risk and maintain data integrity. By focusing on global standards, the work enhanced the reliability of location-based features while maintaining a conservative, risk-averse engineering approach.