Worked on enhancing the Boltz parsing pipeline by addressing a critical issue in chemical structure parsing related to chirality handling. Focused on improving data quality, the developer corrected the conversion process of the chirality tag to a string before performing type lookups, which improved the accuracy of chemical data processing and reduced misclassification risks. This targeted bug fix, implemented in Python, strengthened data integrity and reliability for downstream analytics within the timholy/boltz repository. Leveraging skills in chemical informatics and data parsing, the work contributed to a more robust workflow, ensuring that chemical data analytics are based on accurate and consistent inputs.