Worked on expanding multidimensional interpolation capabilities within the pydata/xarray repository, focusing on enhancing flexibility for complex scientific data manipulation. Leveraged Python, NumPy, and SciPy to add support for additional N-dimensional interpolants, enabling users to perform more advanced interpolation tasks across diverse datasets. The technical approach included updating the core interpolation logic, extending documentation to guide users through the new features, and broadening test coverage to ensure reliability and correctness. This work addressed the need for robust, flexible data interpolation in scientific computing workflows, resulting in a more versatile and dependable API surface for the xarray community to utilize.