Qiaojun Feng
Engineering at Applied Intuition
California, United States
Summary
👤
Senior🎓
Top SchoolQiaojun Feng is an engineering leader and ECE Ph.D. from UC San Diego with eight years of experience bridging robotics research and production software. He spent six years as a graduate student researcher in the Existential Robotics Lab focusing on sensing, estimation, localization, and mapping, and has practical industry experience from roles at Nuro, X (Project Mineral), and Applied Intuition. Comfortable teaching at scale, he served as TA for large robotics courses and translates academic rigor into robust engineering for autonomous systems. His background from Tsinghua to UCSD reflects a strong foundation in automation and electrical engineering, and he brings a rare mix of hands-on mapping/localization expertise and applied ML/robotics experience in computational agriculture and autonomy.
8 years of coding experience
6 years of employment as a software developer
University of California, San DiegoShenzhen Middle SchoolBachelor of Engineering - BE Automation, Bachelor of Engineering - BE Automation at Tsinghua University
Github Skills (28)
depth-estimation10
sensor10
robotics9
stereo9
slam9
computer-graphics7
correspondence7
optimization7
computer-vision7
pybullet7
deep-learning6
pytorch6
autoencoder5
feature-extraction4
synthesis4
Programming languages (3)
Github contributions (5)
FengQiaojun/TerrainMesh
Jun 2021 - Nov 2022
Contributions:63 commits, 20 pushes, 1 branch in 1 year 5 months
FengQiaojun/TerrainMesh_Data
Mar 2021 - Apr 2022
Contributions:4 commits, 3 pushes, 1 branch in 1 year 1 month
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