Alexis Yslau enhanced data quality and processing pipelines for the roman-corgi/corgidrp and spacetelescope/catkit2 repositories, focusing on robust support for large astronomical datasets. They implemented 64-bit data handling and nonlinear pixel flagging in Python and C++, improving the accuracy and flexibility of image analysis workflows. Alexis refactored core libraries to enforce metadata standards, endianness, and naming conventions, while also strengthening test automation with Pytest and comprehensive linting. Their work addressed both feature development and bug resolution, advancing reproducibility and maintainability. The depth of engineering is reflected in careful attention to code quality, documentation, and cross-language interoperability throughout the codebase.