Worked on enhancing the robustness of input validation in the Annotator component of the malariagen/malariagen-data-python repository. Focused on improving error handling by replacing bare assert statements with ValueError exceptions in Python, which provided clearer and more informative error messages when reference alleles did not match or variant coordinates were out of bounds. This approach improved data validation and reduced debugging time, contributing to higher data quality and a better user experience. Demonstrated strong skills in Python programming and defensive programming practices, with an emphasis on precise exception handling to ensure reliability and maintainability within the data processing pipeline.