
Min Wang Lou developed end-to-end VideoWebsite features for the miw-upm/apaw-practice repository, focusing on robust data modeling and API design. She established the core persistence layer using Java and MongoDB, implementing DAOs, entities, and validation to support video content, comments, watchlists, and user accounts. Her work included comprehensive RESTful API endpoints for CRUD operations and search functionality, all backed by database seeding and thorough unit and integration testing. By improving test infrastructure and ensuring data integrity, Min enabled reliable deployments and accelerated feature delivery. The project demonstrated depth in backend development, object-oriented programming, and REST API implementation within Spring Boot.

October 2025 performance summary for miw-upm/apaw-practice. Delivered end-to-end VideoWebsite capabilities, establishing a solid data model, persistence layer, and user-facing API. The work unlocked core product features around video content, comments, watchlists, and user accounts, with seeded data and validated relationships. Implemented comprehensive CRUD endpoints and search functionality, strengthened by test infrastructure improvements to support reliable releases. The combined efforts improved data integrity, API coverage, and time-to-market for video-related features.
October 2025 performance summary for miw-upm/apaw-practice. Delivered end-to-end VideoWebsite capabilities, establishing a solid data model, persistence layer, and user-facing API. The work unlocked core product features around video content, comments, watchlists, and user accounts, with seeded data and validated relationships. Implemented comprehensive CRUD endpoints and search functionality, strengthened by test infrastructure improvements to support reliable releases. The combined efforts improved data integrity, API coverage, and time-to-market for video-related features.
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