Fangcheng Ji
算法研发架构师 at 理想汽车
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolFangcheng Ji is an algorithm development and architecture engineer with eight years of experience building visual perception systems for intelligent vehicles. He holds both bachelor’s and master’s degrees from Tongji University and has driven R&D at Baidu before leading algorithm architecture at Li Auto. Proficient in C++ and Python, he focuses on computer vision and deep learning solutions that bridge research and production deployment. Known for responsibility, initiative, and diligence, he seeks roles with international collaboration or overseas communication opportunities. An interesting facet of his background is the blend of hands-on perception engineering and formal academic training, enabling him to translate advanced algorithms into robust vehicle-grade implementations.
8 years of coding experience
1 year of employment as a software developer
Master of Engineering, Master of Engineering at Tongji University
Chinese
Github Skills (54)
rviz10
terrain10
elevation10
occupancy10
pcl9
bounding9
ros9
convolution9
cpp8
vulkan8
arm8
loss8
machine-learning8
robotics8
pytorch7
Programming languages (3)
Github contributions (5)
fangchengji/detectron2
Jan 2020 - Aug 2020
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Contributions:13 commits, 28 PRs, 58 pushes in 6 months
pytorchnext-generationsegmentationdetectron2detection
fangchengji/WoodScape
Nov 2021 - Jun 2022
The repository containing tools and information about the WoodScape dataset.
Contributions:5 pushes in 7 months
dataset
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