Dongbin Na
AI Researcher at VUNO Inc.
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolDongbin Na is an AI researcher based in Seoul with 10 years of experience building deep learning systems across computer vision and NLP, currently driving research at VUNO Inc. He blends academic rigor (Master’s in Computer Science and Engineering) with practical engineering, contributing reproducible deep-learning paper reviews and notebooks that explore image generation, style transfer, and adversarial attacks. Earlier roles span full-stack and back-end development, teaching intensive programming and CS courses, and security consulting—evidence of strong fundamentals in algorithms, systems, and secure development. He also maintains a popular repository of coding-test solutions in Python, reflecting proficiency in algorithmic problem-solving and clean implementation. Colleagues value his ability to translate cutting-edge research into applied prototypes and educational materials. He uniquely pairs research-driven model experimentation with a track record of teaching and production engineering.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Education, 4.14/4.5, Bachelor's degree, Computer Education, 4.14/4.5 at Korea National University of EducationMaster's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at 포항공과대학교High School Diploma, Chinese, High School Diploma, Chinese at 과천외국어고등학교
Github Skills (15)
data-structures10
algorithms10
pytorch10
computer-vision10
jupyter-notebook10
machine-learning10
adversarial-attacks10
deep-learning10
image-generation10
python10
dynamic-programming10
data-structure10
style-transfer10
graph-theory9
greedy-algorithms9
Programming languages (4)
Github contributions (5)
ndb796/Deep-Learning-Paper-Review-and-Practice
Sep 2020 - Sep 2021
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
Role in this project:
ML Engineer
ML EngineerContributions:132 commits, 137 pushes, 1 branch in 1 year
Contributions summary:Dongbin's commits focus on deep learning model development and experimentation. The commits involve creating and modifying Jupyter Notebooks that implement and review deep learning models, likely for educational and research purposes. The changes indicate a focus on understanding and applying concepts in deep learning, specifically in the areas of image generation, style transfer, and adversarial attacks.
deep-learningpytorchpaper-reviewstensorflowai
ndb796/python-for-coding-test
Apr 2020 - Jan 2021
[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.
Role in this project:Back-end Developer
Back-end DeveloperContributions:584 commits, 555 pushes, 1 branch in 9 months
Contributions summary:Dongbin primarily contributed to implementing solutions for coding test problems using Python. Their work focused on writing concise programs to solve algorithmic challenges related to topics like greedy algorithms, dynamic programming, and graph theory, as indicated by the commit messages and code differences. The contributions were characterized by efficient code design and the application of relevant data structures. This indicates a strong grasp of fundamental programming concepts needed for competitive coding and problem-solving.
data-structurespython
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