Raphael focused on enhancing the security of the document upload flow in the eosphoros-ai/DB-GPT repository by addressing a critical directory traversal vulnerability. Using Python and leveraging backend development and file handling expertise, Raphael implemented input sanitization and enforced strict storage paths to ensure uploaded files remained within designated directories. This targeted remediation reduced the risk of unauthorized file access and aligned the system with established security best practices. The solution was delivered with minimal disruption to existing functionality, preserving stability and compatibility. Raphael’s work demonstrated depth in secure API development and contributed to safer document handling for end users.