Kwangeun Ahn
연구원 at Buyeong Indus.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKwangeun Ahn is a research engineer based in Seoul with 11 years of experience specializing in image processing and machine learning for industrial automation and automotive applications. Currently at Buyeong Indus., he applies computer vision to factory automation while maintaining a long-running freelance practice that broadens his exposure to diverse problem domains. His background includes developing black box dashcam image processing systems and companion PC software, demonstrating an ability to take vision algorithms from prototype to product. He holds a master’s degree in Computer and Communication Engineering and a strong undergraduate record in Information Communications Convergence from Daegu Catholic University. Known for pragmatic engineering, he blends academic rigor with hands-on system integration—often optimizing solutions for embedded and resource-constrained environments. Outside core projects, he frequently bridges research and applied development, surfacing practical ML improvements that reduce false positives and improve robustness in real-world deployments.
11 years of coding experience
석사, 컴퓨터정보통신공학과, 석사, 컴퓨터정보통신공학과 at 대구가톨릭대학교
Korean, English
Github Skills (10)
computer-vision6
opencv6
nodejs6
cpp6
python6
git-client5
github5
cmake5
git5
image-processing4
Programming languages (2)
Github contributions (5)
KwangEun/KwangEun.github.io
Nov 2017 - Jun 2022
Contributions:39 pushes, 1 branch in 4 years 7 months
DCUSnSLab/Image-Labeling-Project
Jan 2018 - Apr 2018
Contributions:99 commits, 14 PRs, 38 pushes in 2 months
image-processing
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