
Over three months, contributed to the Planning-Inspectorate/appeals-back-office repository by delivering six features and resolving key bugs to streamline planning appeals workflows. Developed end-to-end hearing management, including new data models, API layers, and frontend flows for scheduling, estimates, and address capture, using JavaScript, TypeScript, and Node.js. Enhanced UI consistency and validation, improved document handling, and strengthened audit trails to reduce user friction and manual follow-ups. Addressed data integrity and communication challenges by integrating Local Planning Authority email handling and refining error messaging. The work demonstrated full stack development skills, with a focus on reliability, maintainability, and improved user experience.
May 2025 performance summary for Planning-Inspectorate/appeals-back-office. Delivered two major end-to-end features around hearing management and consistently improved reliability through UI/UX tweaks and robust error handling. Implemented a new data model and API layer to support hearing estimates, and established a structured hearing details setup with address capture and a Check Your Answers (CYA) workflow. Fixed a series of web-layer issues to improve stability and user experience across the appeals workflow.
May 2025 performance summary for Planning-Inspectorate/appeals-back-office. Delivered two major end-to-end features around hearing management and consistently improved reliability through UI/UX tweaks and robust error handling. Implemented a new data model and API layer to support hearing estimates, and established a structured hearing details setup with address capture and a Check Your Answers (CYA) workflow. Fixed a series of web-layer issues to improve stability and user experience across the appeals workflow.
April 2025 delivered major front-end improvements to the appeals back-office: hearing scheduling flows, LPA management UI, and document handling. Key outcomes include a new hearing scheduling journey with date/time capture and estimates, cleanup of LPAQ UI to remove irrelevant data and a validated LPA reference-number workflow with audit logging, and an enhanced document renaming/upload UX with robust input validation. These changes reduce user friction, improve data quality, and establish consistent UI patterns and validation across modules.
April 2025 delivered major front-end improvements to the appeals back-office: hearing scheduling flows, LPA management UI, and document handling. Key outcomes include a new hearing scheduling journey with date/time capture and estimates, cleanup of LPAQ UI to remove irrelevant data and a validated LPA reference-number workflow with audit logging, and an enhanced document renaming/upload UX with robust input validation. These changes reduce user friction, improve data quality, and establish consistent UI patterns and validation across modules.
March 2025 monthly summary for Planning-Inspectorate/appeals-back-office: Delivered targeted enhancements to improve LPAs' communications and data integrity. Implemented Local Planning Authority (LPA) email inclusion in appeal contact details payload and UI, enabling direct, reliable notifications and faster case handling. Fixed a bug in final comments flow to hide deleted attachments on the check-your-answers page, preventing confusion and ensuring accurate document sets. These changes reduce manual follow-ups, improve data quality, and strengthen end-to-end appeal processing. Technologies demonstrated include frontend-backend integration, payload shaping, and UI data filtering, with commit-level traceability via described commits.
March 2025 monthly summary for Planning-Inspectorate/appeals-back-office: Delivered targeted enhancements to improve LPAs' communications and data integrity. Implemented Local Planning Authority (LPA) email inclusion in appeal contact details payload and UI, enabling direct, reliable notifications and faster case handling. Fixed a bug in final comments flow to hide deleted attachments on the check-your-answers page, preventing confusion and ensuring accurate document sets. These changes reduce manual follow-ups, improve data quality, and strengthen end-to-end appeal processing. Technologies demonstrated include frontend-backend integration, payload shaping, and UI data filtering, with commit-level traceability via described commits.

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