Feng Xiangyu is a Technical Lead with 11 years of experience building large-scale data and streaming systems, currently driving Flink engine development at ByteDance in Beijing. He has a strong backend focus and proven track record in resource management and runtime improvements for Apache Flink, as well as performance and correctness fixes in Apache Paimon that touch core codegen, merge functions, and ORC timestamp handling. Previously he led platform, growth, and e-commerce data efforts at Meituan and Mobvoi, helping design unified ML and recommendation infrastructures. Comfortable operating at the intersection of production systems and open-source, he brings both academic rigour from a master's in software engineering and hands-on pragmatism from enterprise and cloud-native projects. An often-understated strength is his ability to translate low-level runtime changes into measurable cluster stability and resource efficiency gains.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Beijing University of Posts and Telecommunications
Bachelor's Degree, Automotive Engineering, Bachelor's Degree, Automotive Engineering at Hunan University
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Role in this project:
Back-end Developer
Contributions:33 reviews, 29 PRs, 89 comments in 2 years
Contributions summary:Feng primarily focused on enhancing the core functionalities of the Apache Paimon project. Their contributions included supporting a compiled class cache in `CodeGenUtils.java` to improve performance, expanding sequence group capabilities within the `PartialUpdateMergeFunction.java`, and implementing the feature to customize tag names during batch tag creation. Further contributions involved fixing a bug in `FieldProductAgg.java` and correcting the timezone conversion for the `timestamp_ltz` data type in `OrcFileFormat`.
Contributions:7 reviews, 23 PRs, 51 comments in 4 years 5 months
Contributions summary:Feng primarily contributed to the Apache Flink runtime, focusing on resource management and cluster reconciliation within the FineGrainedSlotManager. Their work involved implementing features to fulfill redundant task managers and addressing configuration options related to resource limitations in standalone modes. Furthermore, the user's commits include the addition of the min number of slots configuration to restrict total number of slots and associated tests.
pythonflinkconnectorsqlapache
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