Mario Poveda focused on improving authentication reliability in the instructure/canvas-lms repository by addressing a critical issue in the AMS JWT token decoding process. He identified and removed an unnecessary base64 encoding step, ensuring that JWT tokens were correctly decoded server-side before being sent to clients. This adjustment reduced authentication failures and aligned token handling with established security practices, supporting smoother integrations between Canvas and AMS resources. Mario applied his expertise in JavaScript, TypeScript, and API integration to deliver a targeted, low-risk fix. The work demonstrated careful attention to secure authentication flows and contributed to more stable production environments.