During April 2025, Michael Stargardt enhanced the FZJ-IEK3-VSA/FINE repository by strengthening the preprocessing of input matrices within the data pipeline. He addressed data quality issues by implementing automated filling of NaN values with zeros and introducing targeted warnings for both NaNs and non-zero diagonal elements, thereby improving the reliability of transmission component validation. Using Python and the Pandas library, Michael focused on robust error handling to prevent silent failures and incorrect esM checks. His work improved system maintainability and diagnostics, reducing debugging time and ensuring that data preprocessing steps are transparent, traceable, and resilient to common input anomalies.