Pooja Balaji enhanced the Benchling-Open-Source/allotropy repository by developing a schema extension for fluorescence-cube-detector measurements in liquid chromatography workflows. She refactored the existing data model to introduce measurementDocumentItems and aligned the elapsed time dimension with retention time in the chromatogram data cube, directly addressing analytics needs for fluorescence LC data. Using Python and applying data modeling and schema design expertise, Pooja’s work improved the maintainability and extensibility of the schema while increasing data fidelity for downstream analysis. This focused contribution addressed part of issue #811 and demonstrated a thoughtful approach to open-source schema evolution within a complex scientific domain.