Veselin Nikolov enhanced the neo4j/graph-data-science-client repository by developing new HDBScan API features that enable mutate and write procedures for modifying graph data and writing results to new graphs. Using Python and leveraging API development and documentation skills, Veselin implemented user-facing enhancements that expand data processing capabilities and support modular graph mutations. The work included comprehensive documentation for stats, stream, and estimation functions, improving usability and adoption for developers. By enabling results to be written to new graphs and providing clear guidance, Veselin addressed workflow needs for data scientists and analysts, delivering a focused and well-documented engineering solution.