Worked on the ISISNeutronMuon/MDANSE repository to improve resource management and code maintainability in Python. Introduced environment variable-based threading limits for OpenMP, BLAS, and MKL, allowing production workloads to control CPU usage dynamically and achieve more predictable performance without modifying source code. Removed the unused and inaccurate random_points_on_disk function from the geometry module, simplifying the codebase and reducing maintenance overhead. Focused on code refactoring, environment configuration, and performance optimization to enhance stability in multi-core environments. These changes laid the groundwork for future improvements by clarifying code paths and making the system easier to maintain and extend.