Worked on the JuliaLang/julia repository to address missing-type handling in core numerical functions, focusing on real, complex, and float operations. Refactored and simplified the return-type logic for unitary functions when applied to Union types that include Missing, ensuring type stability and correctness in computations involving incomplete data. This targeted bug fix improved the reliability of numerical computing workflows by reducing edge cases related to missing values. Leveraged expertise in Julia, core libraries, and type systems to align the changes with ongoing issue tracking. The work enhanced the robustness of numerical operations, supporting more predictable results for users handling missing data.