Worked on JuliaLang/LinearAlgebra.jl to enhance the correctness and reliability of core numerical routines, focusing on the condition number computation for empty square matrices. Addressed a bug in the cond function by ensuring it returns zero for empty square matrices, aligning with mathematical conventions and preventing unexpected downstream results. Expanded the test suite to cover all data types and norms, enforcing strict dimension checks and reducing the risk of regressions. Applied expertise in Julia, linear algebra, and software testing to deliver robust, well-tested code that improves the stability of condition number calculations for users relying on numerical analysis workflows.