
Wilson Lau developed a full-stack Recommendation Request Management feature for the ucsb-cs156-s25/team02-s25-16 repository, delivering both backend CRUD APIs with role-based access and a React-based frontend for listing, creating, and editing requests. He applied Java, JavaScript, and Spring Boot to implement a clean separation of concerns, ensuring scalable architecture and maintainable code. Wilson stabilized the feature through fixture-driven UI development, comprehensive unit testing with Jest and React Testing Library, and mutation testing using Stryker. His work addressed quality issues in API, UI, and tests, resulting in robust coverage, improved maintainability, and accelerated iteration for recommendation workflow development and QA.

In May 2025, delivered end-to-end Recommendation Request Management for the ucsb-cs156-s25/team02-s25-16 repo, including backend CRUD API with role-based access, frontend UI (list/create/edit), routing, tests, and Storybook fixtures. Stabilized the feature with fixture-driven UI development and mutation-testing checks, and addressed UI, API, and test quality issues to improve maintainability and accelerate iteration.
In May 2025, delivered end-to-end Recommendation Request Management for the ucsb-cs156-s25/team02-s25-16 repo, including backend CRUD API with role-based access, frontend UI (list/create/edit), routing, tests, and Storybook fixtures. Stabilized the feature with fixture-driven UI development and mutation-testing checks, and addressed UI, API, and test quality issues to improve maintainability and accelerate iteration.
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