Worked on enhancing data validation in the neo4j/import-spec repository by implementing Vector Type Dimension Validation using Java. Focused on backend development, the work introduced logic to ensure vector types have explicitly defined dimensions and that these dimensions meet specified constraints. The approach involved removing a legacy validator and refactoring the validation process so that dimension checks occur only when referenced in type constraints, which reduced unnecessary computation during data import. This targeted validation improved data integrity for vector definitions and optimized import performance, reflecting a careful balance between robust validation logic and efficient backend processing within the Java codebase.