case_study / Production
Search V2 and Airport Data Improvements
Travel search improvements focused on search relevance, multilingual region data, geolocation-based popular destinations, airport database quality, and consistent search state.
role:
Senior Full-Stack Developer
status:
Production
year:
2024 - Present
Search V2 improved the travel search experience through better airport and region data, relevance, geolocation-based popular destinations, and consistent navigation state.
Screenshots and implementation details are limited due to production/client confidentiality.
Problem
Flight search depends on accurate location data and stable state. Inconsistent airport metadata, region naming, or navigation state can quickly hurt user trust and conversion.
My role
Senior Full-Stack Developer
Architecture / approach
Improved data handling and search state behavior across the product, balancing user experience, data quality, and production reliability.
Responsibilities
- Search relevance improvements
- Airport database improvements
- Multilingual region data support
- Geolocation-based popular destinations
- Search-state consistency
- Production issue resolution
Key features
- Airport database improvements
- Search relevance updates
- Multilingual region data
- Geolocation-based popular destinations
- Search state consistency
Challenges
- Travel search has many edge cases across airports, cities, regions, and user location
- Search state needs to remain predictable across navigation and responsive layouts
Solutions
- Improved location data quality
- Worked on relevance and region handling
- Resolved state-related production issues across flight-search navigation
Impact
- Improved search usability and data quality
- Reduced inconsistent search-state behavior
- Supported a more reliable flight discovery experience
Lessons learned
- Search UX depends as much on data quality as UI
- Small state inconsistencies can create large user-facing issues
- Travel products need careful handling of multilingual and geolocation data