Tengfei Huang contributed to the apache/spark and apache/incubator-gluten repositories, focusing on data integrity and observability in distributed data processing. He enhanced Spark’s shuffle path by implementing row-based checksums and a cross-stage retry mechanism in Java and Scala, enabling detection and recovery from data inconsistencies regardless of input row order. In the Gluten project, he improved broadcast-join metrics by fixing output row count tracking and expanding test coverage, which strengthened monitoring and capacity planning. His work demonstrated depth in backend development and performance tuning, addressing core reliability challenges in big data processing through targeted, well-tested engineering solutions.