Worked on the numpy/numpy repository to deliver a targeted enhancement to the einsum function, enabling its subscripts parameter to accept complex arrays and support subscript-free interleaved operands for both float64 and complex128 data types. Addressed type-checking issues by widening the einsum parameter typing, which resolved mypy false-positives and improved reliability for users working with complex-number workflows. The implementation involved Python, data analysis, and numerical computing skills, with comprehensive tests added to ensure correctness and prevent regressions. This work broadened einsum’s usability for tensor operations, reducing friction and enhancing type safety in scientific and analytical computing environments.