Ismaia Maia expanded tokenization coverage for biological entity recognition in the prescient-design/lobster repository by updating the taxon_id_unique_values.txt file with a comprehensive set of unique taxon IDs. This work involved data curation and integration of the Uniref Tokenizer, leveraging data augmentation and data engineering skills to improve the model’s ability to recognize a broader range of biological entities. The technical approach focused on enhancing downstream analytics readiness and ensuring higher-quality data for subsequent analyses. Ismaia utilized version control and cross-team collaboration throughout the process, delivering a targeted feature update without addressing bug fixes during the one-month project period.