During June 2025, Cepiross focused on backend development within the pytorch/pytorch repository, addressing a targeted issue in tensor manipulation for the MAIA backend. They implemented a fix to ensure tensor print and handling compatibility when the backend lacks double-precision support, directly improving stability for users relying on MAIA. Using Python, Cepiross modified the tensor representation logic to prevent calculation errors and runtime issues, thereby enhancing cross-backend reliability. Although the work centered on a single bug fix rather than new features, the solution demonstrated a deep understanding of backend systems and precision handling, resulting in reduced support tickets and improved user experience.