Gracia Wang developed the NestedFrame.max feature for the lincc-frameworks/nested-pandas repository, enabling users to compute maximum values across both base and nested columns with configurable options to exclude nested columns or restrict calculations to numeric types. She approached the problem using Python and Pandas, focusing on enhancing nested data analysis workflows and reducing manual effort for users handling complex data structures. Gracia implemented comprehensive tests to cover scenarios involving missing values and diverse data types, ensuring reliability and robustness. Her work demonstrated end-to-end feature delivery and reflected a strong grasp of data analysis and software development best practices.