Xin Hao
Solution Development Manager & SiC Business Development Champion at Infineon Technologies
Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolXin Hao is a Solution Development Manager and SiC business development champion at Infineon in Shanghai with 11 years of experience bridging power electronics research and software-driven infrastructure. With a PhD in Power Electronics and early R&D roles at GE and Sungrow, he combines deep domain expertise in SiC devices with product and go-to-market leadership. He also contributes to notable open-source projects—improving robustness in the Apache Flink Kubernetes Operator and supporting Kubeflow pipelines and UI—demonstrating practical DevOps and full-stack skills in ML and cloud-native ecosystems. Xin is comfortable moving between low-level hardware strategy and higher-level software tooling, enabling smoother deployment of power-electronic solutions. Colleagues rely on him for rigorous problem solving and for translating research-grade concepts into production-ready systems. A detail-oriented innovator, he often surfaces operational improvements (from CI/CD to error handling) that quietly raise system reliability.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), POWER ELECTRONICS, Doctor of Philosophy (PhD), POWER ELECTRONICS at Hefei University of Technology
Github Skills (27)
kubernetes10
javascript10
docker10
apache-flink10
big-data10
typescript10
dockers10
java10
cicd10
javas10
typescript-types10
kubernetes-pods10
kubeflow-pipelines10
typescripts10
jupyter9
Programming languages (23)
Github contributions (5)
apache/flink-kubernetes-operator
Mar 2022 - Nov 2022
Apache Flink Kubernetes Operator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 reviews, 19 commits, 27 PRs in 8 months
Contributions summary:Xin primarily focused on improving the Apache Flink Kubernetes Operator by fixing bugs and implementing enhancements within the Java codebase. Their contributions included fixing a class, updating the Kubernetes client usage, and adding logging for operations like deleting jar files. They also made changes to error handling and validation, which improved the robustness of the operator. Furthermore, the user added printer column annotations for status fields.
apache-flinkkubernetes-operatorflinkbig-datajava
kubeflow/kubeflow
Dec 2021 - Jul 2022
Machine Learning Toolkit for Kubernetes
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 13 commits, 40 PRs in 7 months
Contributions summary:Xin primarily contributed to the frontend and backend aspects of the Kubeflow project, as indicated by the commits. They implemented features related to the Jupyter interface and made changes to the central dashboard. The user also performed code adjustments, including applying ng lint and fixing lint errors, improving the code quality and consistency within the project. Additionally, the user upgraded packages and tweaked the code.
kubernetesmachine-learningmlminikubetensorflow
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