Oliver Ye
Embedded ML Engineer at Applied Intuition
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolOliver Ye is an Embedded ML Engineer based in the San Francisco Bay Area with eight years of hands-on experience building firmware, robotics, and automotive systems. He currently develops embedded machine learning and firmware at Applied Intuition, bringing expertise in custom Linux distributions, OTA update systems, and hardware-in-the-loop testing from internships at Zipline and Amazon robotics. His background spans academic research in brain-computer interface architectures and practical work at the MIT Media Lab, blending high-level synthesis, embedded C, and full-stack tooling for constrained systems. Oliver is drawn to ambitious, tactile projects—cars, robots, and inventive electronics—and prefers diving deep until a system actually works in the real world. He pairs a Yale CS degree with a maker’s mindset and a willingness to try unconventional solutions, making him effective at turning experimental ideas into robust embedded products.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Groton SchoolBachelor's degree Computer Science, Bachelor's degree Computer Science at Yale University
Chinese, English, Japanese, Latin
Github Skills (46)
crud8
react-native-paper8
react-native-web7
salesforce7
project-management6
ai-agent6
react5
tinode5
webchat5
crm5
react-native5
erp4
timepicker4
multi-agent-reinforcement-learning4
expo4
Programming languages (3)
Github contributions (5)
Coolister-Ye/coding-notes
Mar 2020 - Feb 2022
Contributions:43 pushes, 1 branch in 1 year 11 months
Coolister-Ye/sea-saw-app
Nov 2024 - Apr 2026
The client side of sea-saw application
Contributions:2 PRs, 53 pushes, 5 branches in 1 year 6 months
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