In February 2025, Cwryu Ryu enhanced the MongoDB metadata ingestion pipeline in the acryldata/datahub repository by optimizing the aggregation logic to improve performance and scalability. Using Python, they reordered aggregation stages to prioritize early sampling or dataset limiting, which reduced the amount of data processed in downstream steps and increased ingestion throughput for large collections. This approach addressed bottlenecks in data ingestion and enabled faster metadata availability for analytics. Ryu also implemented a new test to validate non-random sampling behavior, demonstrating attention to correctness. Their work reflects strong skills in data ingestion, database integration, and performance optimization.