In February 2026, Manish Sharma enhanced the langchain-ai/delta-rs repository by developing a feature that retrieves add action data as Apache Arrow tables rather than RecordBatches. This change, implemented in Rust and leveraging the Arrow library, improved data access latency and memory efficiency for downstream analytics pipelines. Manish’s approach involved integrating Arrow Tables directly into the data path, enabling more efficient data serialization and processing for real-time analytics use cases. Throughout the project, he maintained robust commit hygiene with clear, auditable messages and a signed-off commit, demonstrating attention to traceability and code quality in a production data processing environment.