Worked on enhancing the HDBScan API within the neo4j/graph-data-science-client repository, focusing on expanding data processing capabilities for graph analytics. Developed new mutate and write procedures in Python, enabling users to modify graph data and write results to new graphs, which streamlines workflows for data scientists and analysts. Authored comprehensive user-facing documentation covering the new API features, as well as stats, stream, and estimation functions, to improve developer adoption and usability. Emphasized clear API development and thorough documentation practices, ensuring that the new functionalities are accessible and well-integrated for users working with advanced graph data science tasks.