During March 2026, Matthieu Terris focused on stabilizing the deepinv/deepinv codebase by rolling back the partial integration of the DEAL reconstruction model. Working primarily in Python and leveraging deep learning and image processing expertise, Matthieu identified and removed incomplete components that risked misalignment between model modules and the core system. This cleanup restored baseline stability, reduced deployment risk, and ensured the codebase remained clear for future model integrations. By prioritizing risk reduction and system clarity over new feature development, Matthieu enabled more reliable QA cycles and streamlined release planning, laying a solid foundation for subsequent engineering work in the repository.