Boram Lee focused on enhancing data quality in the timholy/boltz repository by addressing a critical issue in the chemical structure parsing pipeline. She identified and fixed a bug in chirality handling, ensuring the chirality tag was correctly converted to a string before type lookup, which improved the accuracy of chemical data processing and reduced misclassification risks. Working primarily with Python and leveraging her expertise in chemical informatics and data parsing, Boram’s targeted fix strengthened data integrity and reliability for downstream analytics. Her contribution, though limited in scope, demonstrated careful attention to detail and a clear understanding of domain-specific data challenges.