
Katharine Zhang developed core location-based features for the ButterWalk repository, focusing on both frontend and backend integration using JavaScript, TypeScript, and React. She built a client-side BuildingService to manage campus-building data, enabling efficient retrieval of location coordinates and supporting scalable mapping capabilities. Her work included integrating the Google Places API for real-time location search with campus-specific filtering, as well as implementing backend persistence for recent ride request locations. By refining geolocation data and aligning with the latest campusAPI, Katharine improved map accuracy and data flows, laying a solid foundation for enhanced user experience and future geospatial analytics.

Delivered a targeted geolocation refinement for Campus Buildings in ButterWalk, updating precise latitude/longitude data for campus locations to improve map accuracy and search results. Aligned geospatial data with the latest campusAPI (commit 839028727dd4aa1c321aff2a4e3a00c98afa0a9c), enabling reliable location representations and smoother data flows. This work establishes a foundation for enhanced user UX and future geospatial analytics.
Delivered a targeted geolocation refinement for Campus Buildings in ButterWalk, updating precise latitude/longitude data for campus locations to improve map accuracy and search results. Aligned geospatial data with the latest campusAPI (commit 839028727dd4aa1c321aff2a4e3a00c98afa0a9c), enabling reliable location representations and smoother data flows. This work establishes a foundation for enhanced user UX and future geospatial analytics.
May 2025 monthly summary for KatharineZhang/ButterWalk highlights the delivery of two core features improving the Ride Request workflow and search quality, with measurable UX and business value. Key outcomes include a new Recent Locations feature in the Ride Request Form with backend persistence and a corresponding FAQ update, and a Google Places API integration for real-time location suggestions with campus polygon filtering. The work was completed with end-to-end backend/frontend integration and cross-functional collaboration (co-authored commits). No major bugs were reported in this scope; changes align with product goals for faster ride requests and improved user satisfaction.
May 2025 monthly summary for KatharineZhang/ButterWalk highlights the delivery of two core features improving the Ride Request workflow and search quality, with measurable UX and business value. Key outcomes include a new Recent Locations feature in the Ride Request Form with backend persistence and a corresponding FAQ update, and a Google Places API integration for real-time location suggestions with campus polygon filtering. The work was completed with end-to-end backend/frontend integration and cross-functional collaboration (co-authored commits). No major bugs were reported in this scope; changes align with product goals for faster ride requests and improved user satisfaction.
April 2025 monthly summary for Katharine Zhang (ButterWalk repository). Delivered a client-side BuildingService to manage and provide access to campus-building data (names and coordinates). The service includes methods to retrieve a building's main location and, when available, its front and back coordinates, enabling location-based features in the ButterWalk client. This work improves data access patterns, supports upcoming campus-mapping capabilities, and lays the groundwork for scalable location data handling in the app. No high-severity bugs reported this month; focus was on feature delivery and code quality improvements.
April 2025 monthly summary for Katharine Zhang (ButterWalk repository). Delivered a client-side BuildingService to manage and provide access to campus-building data (names and coordinates). The service includes methods to retrieve a building's main location and, when available, its front and back coordinates, enabling location-based features in the ButterWalk client. This work improves data access patterns, supports upcoming campus-mapping capabilities, and lays the groundwork for scalable location data handling in the app. No high-severity bugs reported this month; focus was on feature delivery and code quality improvements.
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