Developed core feedback and chat capabilities for the rag2daw2025 and rag2daw2025frontend repositories, establishing scalable APIs, robust data models, and a production-ready platform foundation. Focused on backend architecture using Java, Spring Boot, and SQL, the work included designing DTOs, implementing service layers, and optimizing database interactions for efficient querying and pagination. On the frontend, Angular and TypeScript were used to enhance chat management and analytics dashboards, improving reliability and user experience. The approach emphasized modularity, code refactoring, and exception handling, resulting in 24 new features and 9 bug fixes that strengthened both API stability and frontend usability.