Jevon Mao

Undergraduate Research Fellow

Irvine, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Jevon Mao is a Stanford CS undergraduate and research fellow with six years of hands-on experience building ML-driven systems, mobile apps, and polished SwiftUI interfaces. He has contributed to research at Stanford Vision Lab and Movement Lab, advanced point-cloud and LiDAR pipelines at NYU, and built detection/localization systems in acoustic sensing—often improving state-of-the-art performance in core metrics. On the product side he’s shipped mobile and cross-platform work (React Native, iOS/macOS) and designed UX-forward components like a dark/light-ready SwiftUI permissions package and contributions to the popular eul macOS monitor. He’s blended industry and research roles—from a GSoC placement with Google DeepMind to early-stage technical leadership at Video Tutor—demonstrating an ability to move from prototype to public traction. Based in Irvine, CA, Jevon pairs strong systems and research instincts with a designer’s attention to user-facing details, making him effective across full-stack ML product development. An uncommon thread in his profile is that he moves fluidly between low-level signal processing (TDOA, acoustic arrays) and high-quality front-end UI work.
code6 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Stanford University
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Github Skills (15)

monitoring10
cpu10
swift10
macos10
swiftui-app10
ios10
main-memory10
ui-design10
ui-components10
swiftui10
modals9
application9
statusbar9
android-app9
iphone-app9

Programming languages (12)

TypeScriptJavaC++CSSCJavaScriptObjective-CSwift

Github contributions (5)

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gao-sun/eul

Jan 2021 - Jun 2021

🖥️ macOS status monitoring app written in SwiftUI.
Role in this project:
useriOS/macOS Mobile Developer
Contributions:12 reviews, 32 commits, 6 PRs in 4 months
Contributions summary:Jevon primarily contributed to the development of a macOS status monitoring application. Their work involved implementing features related to CPU and memory usage monitoring, including displaying top processes and refresh rate adjustments. They also worked on implementing a memory top process feature and integrating it into the user interface. Furthermore, the user refactored and refined existing code related to network and CPU processes.
statusbarmonitorstatusswiftstatus-monitoring
A SwiftUI app for viewing the SMHS schedule, designed and built better than the official SMHS app 🙌.
Contributions:14 releases, 2 reviews, 615 commits in 1 year 10 months
learn-swiftschedulerswiftiosswiftui-app
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Jevon Mao - Undergraduate Research Fellow