Zixuan Chen
Software Engineer at Tencent
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolZixuan Chen is a software engineer with six years of experience building recommender systems at Tencent Video, combining production-scale engineering with a background in chemical and biomolecular engineering. He brings a full-stack mindset—contributing front-end UI and integration work to Microsoft’s popular ai-edu TTS demo—while focusing on practical feature delivery and code simplification. Trained at Tianjin University and the University of Pennsylvania (MCIT & CBE), he pairs rigorous scientific research experience with applied software development. His early work includes drug discovery research at Harvard Medical School and data-driven consulting for life-sciences clients, giving him uncommon domain fluency across biotech and AI. Based in Haidian, Beijing, he excels at translating complex technical and domain requirements into user-facing features and scalable backend solutions. Colleagues know him for shipping thoughtful UIs and pragmatic integrations that bridge research prototypes and production services.
6 years of coding experience
Bachelor's degree, Chemical Engineering and Technology, Bachelor's degree, Chemical Engineering and Technology at Tianjin UniversityMaster's degree, MCIT (Computer Information and Technology) & CBE (Chemical and Biomolecular Engineering), Master's degree, MCIT (Computer Information and Technology) & CBE (Chemical and Biomolecular Engineering) at University of Pennsylvania
Github Skills (6)
windows-forms10
user-interface10
csharp10
dotnet-core10
netframework9
develop8
Programming languages (1)
Github contributions (5)
microsoft/ai-edu
Nov 2019 - May 2020
AI education materials for Chinese students, teachers and IT professionals.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:15 commits, 21 PRs, 56 pushes in 6 months
Contributions summary:Zixuan's contributions primarily revolve around developing a text-to-speech (TTS) application, as evidenced by the commits related to the `TTS_Demo` project within the `ai-edu` repository. This includes implementing the user interface, simplifying code, and adding features such as demo build instructions, core technical content, and file saving capabilities. The user made changes to the application's form design and project files, demonstrating a focus on front-end development with potential back-end integration for TTS functionality.
chineseprofessionalsmachine-learningeducation-materials
v-zich/v-zich.github.io
Nov 2019 - Dec 2021
Contributions:4 pushes, 1 branch in 2 years
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