Worked on the astropy/astropy repository to address a core issue in unit-aware arithmetic, focusing on improving numerical correctness within the NDArithmeticMixin. The primary contribution involved fixing a bug related to dtype handling in Unit Quantity Arithmetic, where the approach centered on consistent use of NumPy dtype introspection to prevent unintended upcasting when combining values of different types. This solution enhanced the accuracy and stability of calculations involving unit-bearing quantities. The work leveraged Python and Astropy, with a strong emphasis on quantity handling and unit conversion, resulting in more reliable and precise arithmetic operations across the codebase for scientific computing tasks.