During April 2026, contributed multiprocessing support to the spacetelescope/jwst repository by enabling parallel fitting across slices in the adaptive trace model. This enhancement, implemented in Python, leveraged parallel computing techniques to reduce processing time for test cases and improve overall pipeline throughput. The work integrated seamlessly with the existing test suite, ensuring stability and validating performance improvements under parallel execution. By focusing on data processing and scientific computing patterns, the changes established a foundation for broader parallelization in the codebase. This effort laid important groundwork for future scalability and demonstrated collaborative development practices through co-authored contributions and thorough validation.