October 2025: Data-driven improvements to osmlab/name-suggestion-index focusing on name suggestions quality and internationalization. Key deliveries include: 1) Business-type data enrichment for cafes, fast_food, convenience stores, and greengrocers to improve accuracy and coverage; 2) Fuel data updates for fuel.json to reflect current offerings and properties; 3) Added Chinese language code zh for compatibility with Chinese data representations. No explicit major bugs reported; the work emphasizes data integrity, maintainability, and broader locale coverage. Technologies demonstrated include JSON data modeling, Git-based version control, data quality enrichment, and internationalization readiness.

August 2025 – Name Suggestion Dataset Enhancement for the osmlab/name-suggestion-index. Delivered enhancements to cafe.json and fast_food.json by adding new locations and updating existing entries to improve coverage and accuracy of the name suggestions. No major bugs fixed this month. Impact: more reliable name suggestions in the index, better user search experience, and cleaner, traceable data changes reflected in the commit history. Technologies/skills demonstrated include data curation, JSON handling, version control, and data quality assurance.

June 2025 OsmAnd-iOS: Localization quality improvement. Fixed Traditional Chinese UI label where the string incorrectly changed from '分鐘' (minute) to '最小' (minimum), restoring accurate time-related terminology and UI clarity across the app. This fix enhances user experience for Traditional Chinese users and aligns with established translation standards.