
Developed a scalable API foundation and a comprehensive quiz domain for the Pangolins repository, focusing on robust backend architecture using C#, ASP.NET Core, and Entity Framework Core. Designed and implemented models, repositories, and services for quizzes and questions, integrating AutoMapper for efficient data mapping, including creator attribution. Established API controller scaffolding and seeded initial data to streamline development and testing workflows. Delivered a broad suite of unit and integration tests covering Game Record, Quiz, and Game Manager components, enhancing reliability. Addressed code quality through targeted refactoring and import corrections, supporting maintainability and enabling faster, safer feature iterations for future development.
October 2025 – Pangolins (250908-NET/Pangolins): Delivered a scalable API foundation and a complete quiz domain, seeded initial data, and established extensive test coverage. Key outcomes include a foundational API core, a fully modeled Quiz/Questions domain with repositories, services, and Automapper mappings (including creatorUsername), API controller scaffolding, and a data seed to support development and testing. A broad suite of unit/integration tests for Game Record, Quiz, and Game Manager components improved reliability, while targeted code quality fixes enhanced maintainability and future velocity. These efforts deliver tangible business value by enabling faster feature iterations, safer deployments, and a richer quiz experience for end users.
October 2025 – Pangolins (250908-NET/Pangolins): Delivered a scalable API foundation and a complete quiz domain, seeded initial data, and established extensive test coverage. Key outcomes include a foundational API core, a fully modeled Quiz/Questions domain with repositories, services, and Automapper mappings (including creatorUsername), API controller scaffolding, and a data seed to support development and testing. A broad suite of unit/integration tests for Game Record, Quiz, and Game Manager components improved reliability, while targeted code quality fixes enhanced maintainability and future velocity. These efforts deliver tangible business value by enabling faster feature iterations, safer deployments, and a richer quiz experience for end users.

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