Zijie Guo
Project Leader at CARIAD
Chaoyang District, Beijing, China
Summary
👤
Senior🎓
Top SchoolZijie Guo is a project leader specializing in autonomous driving perception and AI, with eight years of experience and over five years focused on camera- and LiDAR-based deep learning models. At CARIAD he has progressed from sensor and perception function roles to leading LiDAR product development and cluster product ownership, coordinating cross-disciplinary teams and suppliers. His work spans algorithm development, system integration, dataset curation and KPI-driven requirements, and he has five papers accepted at IEEE Intelligent Vehicles conferences. Comfortable mentoring students and steering hardware-software co-development, he combines hands-on model migration and evaluation with program-level product delivery. Based in Beijing, he is actively seeking roles in the automotive and AI industries across China, the US and Germany.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mechanical Engineering and Automation, Bachelor's degree, Mechanical Engineering and Automation at 华北电力大学Beijing Kedi Middle SchoolMaster, Mechanical Engineering, 1.9/5.0 German metric, Master, Mechanical Engineering, 1.9/5.0 German metric at Karlsruher Institut für Technologie (KIT)
English, German, Japanese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
convolutional-neural-networks10
voc10
mobilenet9
darknet9
object-detection8
pascal8
translate8
graph8
yolov48
image-processing8
pytorch7
tensorrt7
machine-learning7
tensorflow7
coco7
Programming languages (4)
Github contributions (5)
jingtianyilong/YOLOv4-pytorch
Sep 2020 - May 2021
This is a pytorch repository of YOLOv4 that can be trained with custom dataset.
Contributions:82 commits, 47 pushes, 6 branches in 8 months
pytorchcustom-datasetdatasetobject-detectionyolov4
jingtianyilong/PyTorch-YOLOv3
Oct 2018 - Feb 2021
Minimal PyTorch implementation of YOLOv3
Contributions:40 pushes, 2 branches in 2 years 4 months
pytorchyolov3object-detectionpytorch-implementation
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