Zhenzhen Zhong is a Senior Machine Learning Engineer with 10 years of experience applying AI and cloud technologies across energy, gaming, and chemical industries. She has led teams to build revenue-driving dynamic pricing and real-time model serving systems at ExxonMobil and Lion Studios, and deployed large-scale recommendation and reranking systems at Tencent for products with tens of millions of daily users. Comfortable spanning research and production, she combines LLMs, reinforcement learning, computer vision, and streaming infrastructure (Databricks, AWS Kinesis, Golang) to personalize experiences and optimize monetization. Her open-source front-end work shows a practical full-stack curiosity—contributing Angular login and search features to the NiceFish project—illustrating a knack for shipping polished interfaces as well as backend models. Based in Houston, she pairs dual MS degrees (Chemistry and Industrial & Systems Engineering) with a pragmatic focus on turning complex ML research into measurable business impact.
🚀🚀🚀NiceFish(美人鱼) 是一个系列项目,目标是示范前后端分离的开发+部署模式,包括: 浏览器环境、移动端环境、Electron 环境;后端有两个版本:SpringBoot 版本和 SpringCloud 版本。请不要吝惜你的⭐️ Star ⭐️,星星越多,动力越足。下一个版本会引入 Angular 最新的 signal 特性。
Role in this project:
Front-end Developer
Contributions:56 commits in 4 months
Contributions summary:Zt primarily contributed to the front-end aspects of the NiceFish project, focusing on the user login functionality. Their work included the creation of the user login component, modification of the HTML template and service, implementation of form validation, and integration of a fake backend for testing purposes. The changes involved the use of Angular, TypeScript, and HTML, specifically incorporating form handling, input validation, and navigation within the application. Further commits involved adding search functionality.
Contributions:28 commits, 26 pushes, 1 branch in 2 years 3 months
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