
Charu Mehta developed and enhanced front-end features for the Hack4Impact-UMD/breastfeeding-center-gw and h4i-internal-application-tool repositories, focusing on scalable UI components and robust user workflows. She implemented data tables, dashboards, and notification systems using React and TypeScript, emphasizing responsive design and maintainable architecture. Her work included building multi-criteria sorting for applicant reviews, modular file upload interfaces, and a unified toast notification system to improve user feedback. Charu prioritized accessibility, error handling, and code reusability, refactoring components for consistency and future scalability. Throughout, she demonstrated depth in UI/UX design, data visualization, and form validation, delivering stable, user-centered solutions.

December 2025 monthly summary: Delivered a Toast Notification System to improve user feedback and UX across Hack4Impact-UMD/breastfeeding-center-gw. The feature includes toast components for alerts, errors, and success messages, enhancing visibility of system status and user actions. Implemented in the repository with commit 8624eb8aebb7ecb99659110de4d86b0d642893eb ("updated with toast components"). No major bugs reported this month. This work reduces user confusion, speeds issue resolution, and provides a consistent feedback mechanism across core workflows.
December 2025 monthly summary: Delivered a Toast Notification System to improve user feedback and UX across Hack4Impact-UMD/breastfeeding-center-gw. The feature includes toast components for alerts, errors, and success messages, enhancing visibility of system status and user actions. Implemented in the repository with commit 8624eb8aebb7ecb99659110de4d86b0d642893eb ("updated with toast components"). No major bugs reported this month. This work reduces user confusion, speeds issue resolution, and provides a consistent feedback mechanism across core workflows.
Monthly summary for 2025-11: Delivered a set of front-end enhancements for the Hack4Impact-UMD/breastfeeding-center-gw that significantly improved mobile UX, data handling, and user feedback flows. Implemented a cohesive modal system, refined input handling, and a more responsive, accessible UI. These changes reduce user friction, improve data accuracy, and establish a scalable foundation for future capabilities.
Monthly summary for 2025-11: Delivered a set of front-end enhancements for the Hack4Impact-UMD/breastfeeding-center-gw that significantly improved mobile UX, data handling, and user feedback flows. Implemented a cohesive modal system, refined input handling, and a more responsive, accessible UI. These changes reduce user friction, improve data accuracy, and establish a scalable foundation for future capabilities.
October 2025 monthly summary focusing on delivering business value through Jane Dashboard enhancements in Hack4Impact-UMD/breastfeeding-center-gw. Key feature delivered: Data Table and Chart enhancements with improved responsiveness, new retention-rate table filters, and refined chart rendering. Major bug fixes targeted at the Jane dashboard table UI, addressing reliability and usability. Overall impact: faster, more reliable data exploration for stakeholders and maintainable UI components reducing future tech debt. Technologies/skills demonstrated: React/JSX, data visualization, responsive design, component refactoring, and strong Git/version-control discipline.
October 2025 monthly summary focusing on delivering business value through Jane Dashboard enhancements in Hack4Impact-UMD/breastfeeding-center-gw. Key feature delivered: Data Table and Chart enhancements with improved responsiveness, new retention-rate table filters, and refined chart rendering. Major bug fixes targeted at the Jane dashboard table UI, addressing reliability and usability. Overall impact: faster, more reliable data exploration for stakeholders and maintainable UI components reducing future tech debt. Technologies/skills demonstrated: React/JSX, data visualization, responsive design, component refactoring, and strong Git/version-control discipline.
Month: 2025-09 — Delivered core data intake enhancements, user management capabilities, and foundational branching strategy for isolated feature work in Hack4Impact-UMD/breastfeeding-center-gw. Focused on end-to-end feature delivery with an emphasis on stability, reusability, and scalability for future iterations.
Month: 2025-09 — Delivered core data intake enhancements, user management capabilities, and foundational branching strategy for isolated feature work in Hack4Impact-UMD/breastfeeding-center-gw. Focused on end-to-end feature delivery with an emphasis on stability, reusability, and scalability for future iterations.
March 2025: Focused on elevating the applicant review workflow in Hack4Impact-UMD/h4i-internal-application-tool. Delivered and integrated Applicant Review Dashboard enhancements with multi-criteria sorting (date, name, and score), enhanced filtering, expanded scoring categories, and role-aware score calculation. Refactored UI components (FilterBar) and updated the ReviewDashboard to route within the main app, improving navigation and consistency. Completed sorting implementation and data-table restructuring to support the new scoring model, setting the foundation for future role-based scoring expansion. Overall, these changes streamline triage, improve data visibility, and reinforce a more data-driven selection process.
March 2025: Focused on elevating the applicant review workflow in Hack4Impact-UMD/h4i-internal-application-tool. Delivered and integrated Applicant Review Dashboard enhancements with multi-criteria sorting (date, name, and score), enhanced filtering, expanded scoring categories, and role-aware score calculation. Refactored UI components (FilterBar) and updated the ReviewDashboard to route within the main app, improving navigation and consistency. Completed sorting implementation and data-table restructuring to support the new scoring model, setting the foundation for future role-based scoring expansion. Overall, these changes streamline triage, improve data visibility, and reinforce a more data-driven selection process.
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