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.
11 years of coding experience
5 years of employment as a software developer
Leadership training, Leadership training at Dale Carnegie Training
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Beijing Jiaotong University
Master of Fine Arts - MFA Design (Interaction track), Master of Fine Arts - MFA Design (Interaction track) at California College of the Arts
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.
Contributions:50 pushes, 11 branches in 3 years 7 months
node-jsjavascriptruntimejavascript-runtimenodejs
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