Zheng Feng is a Principal Software Engineer based in Beijing with 17 years of experience specializing in Java middleware, distributed transactions, and cloud-native frameworks. At Red Hat he focuses on resilient transaction subsystems and integrations, contributing upstream to major open-source projects such as Quarkus, Apache Camel, WildFly, Narayana and ShardingSphere. His hands-on work includes XA transaction integration, native-image reflection fixes, JDBC and Netty streaming improvements, and recovery test automation—demonstrating both deep protocol-level knowledge and practical DevOps skills. An active international speaker and community contributor, he often tackles subtle interoperability and build-time issues that few engineers surface. Trained with a master's in computer science from USTC, he blends academic rigor with long-term production experience in large-scale Java ecosystems.
17 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Science and Technology of China
Contributions:2 releases, 734 reviews, 105 commits in 3 years 4 months
Contributions summary:Zheng's contributions focused on adding and improving the Apache Camel Quarkus Paho extension for MQTT support. This involved implementing the `camel-paho` extension, integrating it with Quarkus, and creating integration tests. Further improvements to the paho integration test were included in the commits. The user also introduced the quarkus qute in camel extension and the camel-servicenow extension.
Contributions:10 reviews, 186 commits, 89 PRs in 9 years 2 months
Contributions summary:Zheng made significant contributions to improve and maintain the Narayana project. Their work involved fixing crash recovery tests by addressing file path issues, ensuring the server could be killed and restarted successfully, and adding the ability to deploy the xtstest war after container crashing. Additionally, the user updated the build scripts, adding functionality for building and testing against a built JBoss-AS instance as well as managing the version of Blacktie using git.
deep-learningcodebasepythonmachine-learning
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Zheng Feng - Principal Software Engineer at Red Hat