Ryan Gao
Localization And Perception Engineer
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolRyan Gao is a Localization and Perception Engineer with a decade of hands-on experience building lidar- and vision-based algorithms for autonomous systems. Trained in microelectronics, he moved from hardware to machine learning—augmenting his academic background with Udacity nanodegrees in self-driving, computer vision, and ML and applying those skills during internships at Variable Supercomputer Tech and Uisee Technology. At Uisee he researches and implements sensor fusion and perception pipelines, blending low-level hardware understanding with data-driven model design. He has led teams and events in AIESEC, demonstrating organizational grit alongside technical depth, and approaches problems with a continuous-challenge mindset that fuels rapid learning and practical experimentation.
10 years of coding experience
Bachelor’s Degree, Microelectronics, Bachelor’s Degree, Microelectronics at Jiangnan UniversitySelf Driving Car Nanodegree, Computer Vision, Deep Learning, Self Driving Car Nanodegree, Computer Vision, Deep Learning at Udacity
English, Chinese
Github Skills (6)
in-progress10
3d-object-detection9
computer-vision7
object-detection7
deep-learning6
tensorflow6
Programming languages (2)
Github contributions (5)
leeyevi/MV3D_TF
Apr 2017 - May 2017
Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)
Contributions:35 commits in 1 month
detection-networkmulti-viewdeep-learningin-progressobject-detection
RyannnG/Statistic-110-Probability
Nov 2016 - Dec 2016
Contributions:36 commits, 17 pushes, 1 branch in 1 month
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