Xiaofang Mei

Principal Product Designer at Microsoft AI

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Xiaofang Mei is a Principal Product Designer with 11 years of experience crafting user-centered products at scale, currently shaping AI-driven experiences at Microsoft AI after leading consumer growth, loyalty, and AI campaign tooling at DoorDash. She combines deep interaction design roots (MFA in Design) with software engineering training, which lets her bridge product vision and technical execution—evident from hands-on contributions to the Node.js runtime improving REPL, streams, and perf_hooks. Xiaofang has a track record of shipping AI features for OneNote, incubating pickup and payments experiences at OfferUp, and single-handedly designing a kids carpool startup product, demonstrating both strategic leadership and product-level ownership. Based in Seattle, she blends cross-functional influence and leadership training to drive experiences that empower millions while aligning design with measurable business outcomes.
code11 years of coding experience
job5 years of employment as a software developer
bookLeadership training, Leadership training at Dale Carnegie Training
bookMaster's degree Computer Software Engineering, Master's degree Computer Software Engineering at Beijing Jiaotong University
bookMaster of Fine Arts - MFA Design (Interaction track), Master of Fine Arts - MFA Design (Interaction track) at California College of the Arts
languagesEnglish, Chinese
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Stackoverflow

Stats
11reputation
112reached
0answers
1question
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Github Skills (10)

debugging10
javascript10
nodejs10
runtimes10
performance-optimization9
stream9
replit8
repr8
css6
dom6

Programming languages (8)

TypeScriptC++BatchfileJavaScriptVuePHPHTMLPython

Github contributions (5)

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nodejs/node

Feb 2022 - Jun 2022

Node.js JavaScript runtime ✨🐢🚀✨
Role in this project:
userBack-end Developer
Contributions:70 reviews, 57 commits, 36 PRs in 4 months
Contributions summary:Xiaofang primarily contributed to the Node.js runtime, focusing on bug fixes, performance improvements, and enhancements to core modules. Their work includes addressing issues in the REPL, stream processing, and the debugger. They also implemented performance optimizations in the `perf_hooks` module, demonstrating a focus on improving the runtime's efficiency and functionality.
javascriptnodejsnodejsruntime
meixg/node

Sep 2022 - Apr 2026

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:
Contributions:50 pushes, 11 branches in 3 years 7 months
node-jsjavascriptruntimejavascript-runtimenodejs
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