Yang Shi
Senior Software Engineer at Amazon Ads
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYang Shi is a Senior Software Engineer based in Seattle with nine years building production web and frontend systems, currently advancing features and reliability at Amazon after progressive roles across AWS and Vudu. He brings a strong full-stack and frontend focus—improving user-facing experiences, documentation, and tooling—evidenced by contributions to the high-profile Apache MXNet project where he fixed docs redirects, refined UI widgets, and hardened installation and navigation flows. Trained with an MS in Computer Engineering from NYU and a BS from Beijing University of Posts and Telecommunications, he blends academic rigor with pragmatic product delivery. Colleagues rely on him for thoughtful UI improvements that reduce friction for developers and end users alike, and he has a knack for surfacing subtle UX bugs that others miss.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at New York UniversityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Beijing University of Posts and Telecommunications
English, Chinese
Github Skills (6)
mxnet10
javascript10
documentation9
html9
css9
python4
Programming languages (9)
Github contributions (5)
apache/mxnet
Jun 2020 - Sep 2020
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:17 reviews, 24 commits, 50 PRs in 3 months
Contributions summary:Yang primarily contributed to the documentation and front-end aspects of the MXNet project's website. They fixed redirect issues in the Julia API documentation, refactored the clipboard functionality, implemented and refined a user feedback widget, and resolved issues in the installation widget by removing empty entries. Additionally, they made improvements to the Python site by addressing table of content bugs and making the table of contents sticky.
pythonschedulerdataflowmutationdata-science
ys2843/front-end-interview-materials
May 2018 - Feb 2020
Contributions:34 pushes, 1 branch in 1 year 9 months
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