Cedric Feng
Director, Ant International
Hangzhou City, Zhejiang, United States
Summary
🤩
Rockstar🎓
Top SchoolCedric Feng is a seasoned digital and CX leader with 10 years of experience blending analytics, solution design, and delivery excellence to optimize customer journeys for global businesses. As Director at Ant International, he leads overseas customer service lifecycle, benchmarking and scaling CX operations with partners like Accenture and COPC. His background at Ant Financial and IBM spans building CXM platforms, VOC/VOE integration, and data-driven frameworks that embed machine learning into operational dashboards. Unusually for a CX director, he also contributes to major open-source backend projects such as Ray and Apache Flink, fixing core issues in distributed systems and actor lifecycle management. Based in Hangzhou, Cedric combines hands-on engineering chops with strategic program leadership to translate technical improvements into measurable customer experience gains.
10 years of coding experience
10 years of employment as a software developer
浙江大学
Chinese, English, Japanese
Github Skills (14)
javas10
big-data10
ray10
c-language10
cprogramming-language10
apache-flink10
java10
streaming10
testing10
scala9
distributed-systems9
api8
multithreading8
apidoc8
Programming languages (5)
Github contributions (5)
ray-project/ray
Nov 2019 - Apr 2021
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
Backend Developer
Backend DeveloperContributions:412 reviews, 179 commits, 262 PRs in 1 year 5 months
Contributions summary:Cedric's commits primarily involve modifications to C++ source files, specifically within the `src/ray/core_worker/test/core_worker_test.cc` and `src/ray/core_worker/test/mock_worker.cc` files. The changes focus on actor lifecycle management and worker behavior, with changes related to actor reconstruction, pid retrieval, and direct task submission within the Ray project. The user implemented functionalities to manage actor state transitions and ensure worker actions can occur as designed during actor creation.
pythonconsistsruntimetensorflowserving
apache/flink
Jul 2015 - Oct 2015
Apache Flink
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits, 24 PRs, 44 comments in 2 months
Contributions summary:Cedric primarily contributed to bug fixes and improvements within the Apache Flink project. Their commits addressed issues related to memory leaks in `SocketTextStreamFunction`, early connection closures in `SocketClientSink`, and incorrect null checks in `ConnectedDataStream`. They also worked on storm-compatibility, including configuration support and making sure clients are properly closed. These contributions focused on improving the stability and functionality of Flink's streaming and storm compatibility components.
pythonflinkconnectorsqlapache
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