Fadhil Abubaker developed a batch embedding generation workflow for the Pometry/Raphtory repository, focusing on scaling analytics pipelines for graph data. He refactored the add_nodes and add_edges APIs to accept vector inputs, enabling efficient batch processing of node and edge embeddings. By updating batch-aware handlers and extending VectorDb to support batch insertions, he reduced database round-trips and improved throughput for large-scale workloads. Comprehensive tests were added to validate the reliability of batch embedding generation. Working primarily in Rust and leveraging asynchronous programming and graph database expertise, Fadhil delivered a robust, scalable solution that enhances embedding pipeline performance and reliability.