刘冲 is an Algorithm Engineer based in Beijing with 11 years' experience specializing in machine learning and recommendation systems for news and video products. He holds an MSc in Big Data Technology from HKUST with top grades and a BE in Electronic Information Engineering from Jilin University. At TCL HAWK INTERNATIONAL he designs and deploys recommendation models that drive personalized content experiences. He also contributes to notable open-source JVM tooling—improving JsonObject/JsonArray ergonomics in the popular Vert.x project—bringing backend pragmatism to data-driven features. Known for blending rigorous academic training with production-focused engineering, he favors concise, developer-friendly solutions. His motto, 学而时习之,不亦悦乎, reflects a continual-learning mindset he applies to both research and product work.
10 years of coding experience
Master of Science (MSc), Big Data Technology, 3.92/4.3, Master of Science (MSc), Big Data Technology, 3.92/4.3 at 香港科技大学
Bachelor of Engineering - BE, Electronic Information Engineering, 86.3/100 Rank 13/102, Bachelor of Engineering - BE, Electronic Information Engineering, 86.3/100 Rank 13/102 at 吉林大学
Vert.x is a tool-kit for building reactive applications on the JVM
Role in this project:
Backend Developer
Contributions:6 reviews, 8 commits, 3 PRs in 13 days
Contributions summary:刘冲 primarily contributed to the `io.vertx.core.json` package within the Vert.x repository, focusing on enhancing the `JsonObject` and `JsonArray` classes. Their work involved adding utility methods like `of()` to create JSON objects and arrays more conveniently, as well as improving code efficiency and fixing ambiguous test assertions. These changes aimed to improve the developer experience by providing a more concise and straightforward way to construct JSON structures.
Contributions:14 pushes, 1 branch in 4 years 7 months
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