In November 2024, Shrey developed a Course Content Retrieval-Augmented Generation (RAG) Query Endpoint for the ubclaunchpad/forum repository, focusing on secure and scalable access to course materials. Using Python and FastAPI, Shrey integrated a DocumentQueryEngine to enable users to ask questions about course content and receive source-backed answers, while implementing robust access controls to ensure only enrolled users could query specific courses. The solution included well-structured request and response models and streamlined the end-to-end workflow for course queries. This work laid the foundation for knowledge-based Q&A across the platform, reducing manual support and enhancing backend reliability and maintainability.