Jia Zeng is an algorithm engineer with four years of experience building AI-driven systems, currently applying AIGC, NLP, and multi-agent architectures at Trip.com to deliver personalized travel itineraries and real-time customer service tooling. She has research and industry experience from NUS and Microsoft Research Asia, blending academic rigor with production-focused engineering. On GitHub she contributed to Microsoft's popular PromptFlow project, improving stream handling, tool metadata, and custom LLM tooling—signals of strong full-stack and LLM app expertise. Comfortable moving models from prototype to deployment, Jia excels at making complex ML systems reliable and user-facing features practical.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Computer Science, Bachelor of Applied Science - BASc, Computer Science at Beijing University of Posts and Telecommunications
Computer Science, Computer Science at National University of Singapore
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Full-stack Developer
Contributions:92 reviews, 50 PRs, 233 pushes in 1 year 5 months
Contributions summary:Jia primarily focused on enhancing the functionality and maintainability of the promptflow toolset. They refactored the codebase to improve stream response handling for different API versions and implemented checks for image types and generated image data URLs to enhance tool icon creation. Moreover, they contributed by adding and improving the generation of tool metadata to support a wider range of features like category and tag. They also added a custom LLM tool to the package.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Contributions:70 pushes, 5 branches in 1 month
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