Worked on enhancing the QH fixed resolution optimization workflow in the hiddenSymmetries/simsopt repository, focusing on improving performance and maintainability. Refactored the QH_fixed_resolution.py module to streamline code clarity and efficiency, and tuned MPI partitioning to optimize parallel execution and reduce runtime overhead. Adjusted input parameters, including the maximum number of function evaluations, to improve optimization convergence and robustness for scientific computing workloads. The work leveraged Python and high-performance computing techniques, emphasizing optimization and configurability for production environments. No major bugs were addressed during this period, as the primary focus remained on refining workflow speed, reliability, and maintainability.