Jinyeong Wang
Algorithm Engineer, Deep Learning-Driving at StradVision
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJinyeong Wang is a seasoned algorithm engineer with 9 years of experience specializing in deep learning for autonomous driving and computer vision, currently advancing perception systems at StradVision in Seoul. Holding a PhD in Mechanical Convergence Engineering from Hanyang University with a near-perfect GPA, he blends rigorous academic research with hands-on production engineering to optimize perception pipelines and sensor fusion. His work focuses on translating state-of-the-art deep learning models into robust, real-time driving applications, emphasizing practical performance and edge deployment. Colleagues describe him as both analytically rigorous and product-oriented, able to bridge complex research ideas and scalable implementation. Unusually for an algorithm engineer, his background in mechanical engineering informs a systems-level perspective on vehicle dynamics and sensor behavior that strengthens model reliability in real-world conditions.
10 years of coding experience
Doctor of Philosophy - PhD, Mechanical Convergence Engineering, 4.36 / 4.5, Doctor of Philosophy - PhD, Mechanical Convergence Engineering, 4.36 / 4.5 at 한양대학교
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
windows10
linux10
deep-learning10
deep-neural-networks10
neural-network10
object-detection10
computer-vision10
yolov410
implicit9
explicit9
spatial6
arxiv6
darknet5
pytorch5
depthai4
Programming languages (4)
Github contributions (5)
JinFree/darknet
Sep 2020 - Jul 2025
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Contributions:30 pushes, 1 branch in 4 years 11 months
pytorchwindowsdeep-learninglinuxobject-detection
JinFree/Thermo-and-Fluid-Engineering-Lab.1
Aug 2019 - Feb 2020
Contributions:51 commits, 55 pushes, 1 branch in 5 months
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