Alexis Weiying is a software engineer based in Singapore with eight years of experience building practical, user-focused products at the intersection of research and production. Currently at Open Government Products, she applies a background in computer vision research and a Stanford master’s in AI to ship impactful public-sector technology. Prior roles include computer vision research at Whiterabbit.ai and serving as a TA for Stanford’s CS224W, highlighting a strong grounding in graph-based machine learning and applied research. A NYU graduate in Mathematics and Computer Science with a 3.94 GPA, she blends rigorous analytical training with hands-on engineering. Colleagues would describe her as someone who turns academic ideas into reliable, maintainable systems for real users.
8 years of coding experience
Bachelor’s Degree, Mathematics and Computer Science, 3.94, Bachelor’s Degree, Mathematics and Computer Science, 3.94 at New York University
A Levels, A Levels at Raffles Institution
Masters, Computer Science (Artifical Intelligence), Masters, Computer Science (Artifical Intelligence) at Stanford University
:zap::octocat: A Github Action for deploying with the Serverless Framework
Contributions:1 release, 3 pushes, 5 branches in 10 months
deployingserverlessaws-lambdaawszap
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Alexis Weiying - Software Engineer at Open Government Products