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 (11)
3d-object-detection10
tensorflow7
git7
in-progress6
ros-node3
3d2
segmentation2
point-cloud2
object-detection2
computer-vision2
deep-learning1
Programming languages (3)
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
3d-object-detectiontensorflow
RyannnG/Statistic-110-Probability
Nov 2016 - Dec 2016
Contributions:36 commits, 17 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.