
Over four months, contributed to Hack4Impact-UMD repositories by building data-driven features and modernizing infrastructure. Developed event feedback and photo upload systems, enhanced client data access, and implemented robust CSV/XLSX ingestion for appointments and clients. Leveraged Node.js, TypeScript, and React to refactor data fetching with TanStack Query, streamline backend routes, and improve error handling. Introduced modular APIs using Express.js and Multer for file uploads, enabling scalable data onboarding. Enhanced the Acuity Dashboard with appointment analytics and trimester-based attendance visualization, supporting care planning. Focused on maintainability, reliability, and user experience, laying groundwork for future cloud-function integration and scalable data management.
December 2025 monthly work summary for Hack4Impact-UMD/breastfeeding-center-gw: Focused on delivering data-driven Acuity dashboard enhancements, improving appointment data retrieval, error handling, and attendance analytics; implemented robust visualization across trimesters to support care planning and metrics-driven decision making.
December 2025 monthly work summary for Hack4Impact-UMD/breastfeeding-center-gw: Focused on delivering data-driven Acuity dashboard enhancements, improving appointment data retrieval, error handling, and attendance analytics; implemented robust visualization across trimesters to support care planning and metrics-driven decision making.
November 2025: Implemented two key features in Hack4Impact-UMD/breastfeeding-center-gw that improve client data access and appointment visibility, along with notable maintainability improvements. Delivered the Enhanced Client Journey with patient-ID data fetch, client-specific appointment retrieval, and a new data-fetch hook to enable direct navigation to individual client journeys; added UI and maintainability improvements to ClientListPage. Implemented Client-Specific Appointment Filtering and UI Update to reflect client-scoped data, with the appointments endpoint now taking a clientId. Performed targeted data population fixes (Jane consults table) and overall cleanup to reduce tech debt and improve maintainability.
November 2025: Implemented two key features in Hack4Impact-UMD/breastfeeding-center-gw that improve client data access and appointment visibility, along with notable maintainability improvements. Delivered the Enhanced Client Journey with patient-ID data fetch, client-specific appointment retrieval, and a new data-fetch hook to enable direct navigation to individual client journeys; added UI and maintainability improvements to ClientListPage. Implemented Client-Specific Appointment Filtering and UI Update to reflect client-scoped data, with the appointments endpoint now taking a clientId. Performed targeted data population fixes (Jane consults table) and overall cleanup to reduce tech debt and improve maintainability.
October 2025 monthly summary for Hack4Impact-UMD/breastfeeding-center-gw focusing on key deliverables, reliability, and business value from the files/CSV ingestion effort.
October 2025 monthly summary for Hack4Impact-UMD/breastfeeding-center-gw focusing on key deliverables, reliability, and business value from the files/CSV ingestion effort.
Month: 2025-09 – This monthly summary highlights feature delivery, data-layer modernization, and groundwork for future cloud-function routing across two Hack4Impact repositories. It emphasizes business value from improved user engagement, data reliability, performance, and maintainability.
Month: 2025-09 – This monthly summary highlights feature delivery, data-layer modernization, and groundwork for future cloud-function routing across two Hack4Impact repositories. It emphasizes business value from improved user engagement, data reliability, performance, and maintainability.

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