During February 2025, Batipriya focused on enhancing the reliability of function argument detection within the angr/angr repository’s calling convention analysis. She addressed issues with overly aggressive argument identification by refining the analysis logic and expanding regression test coverage to encompass a wider range of binary contexts. Using Python and leveraging her expertise in binary analysis and static analysis, Batipriya adopted a test-driven approach to ensure robust and accurate detection of function arguments. Her work improved the accuracy of downstream reverse engineering pipelines by reducing edge-case failures, demonstrating depth in both problem diagnosis and the implementation of maintainable, quality-driven solutions.