Feiyu Chen is a software engineer with 8 years of experience specializing in Edge AI, web services, and robotics, currently building systems at Google in Seattle. He has production experience at AWS S3 where he designed and implemented internal microservices for S3 object metadata, demonstrating strong backend and distributed-systems skills. His background in robotics and computer vision — with internships working on grasp-pose detection, object detection, and image-based localization — gives him a practical edge when applying ML to real-world embedded systems. Academically he pairs a top-tier robotics master's from Northwestern (4.0 GPA) with a mechatronics bachelor's from Zhejiang University, reflecting deep cross-disciplinary training. Though his GitHub notes that he no longer actively maintains repos, his career shows a consistent pattern of moving research-grade vision and robotics techniques into scalable cloud services. He brings a blend of academic rigor and production engineering discipline that suits teams bridging ML/robotics research and cloud-native deployment.
9 years of coding experience
6 years of employment as a software developer
Hangzhou Foreign Languages School
Master's degree, Robotics, Master's degree, Robotics at Northwestern University
Bachelor's degree, Mechatronics, Bachelor's degree, Mechatronics at Zhejiang University
Educational/research monocular visual odometry implementation with ORB features, initialization, tracking, local mapping, and bundle adjustment in C++.
Contributions:100 commits, 36 pushes, 1 branch in 2 years 6 months
cppvisual-odometrymonocular-slameigeng2o
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