Welcome to my GitHub profile! I'm passionate about AI, Autonomous Vehicle Technology, and Backend development. π
Feel free to explore my repositories and connect with me! π
- β¨ AI-native Developer at SK AX(2026.01~)
- π₯ Passionate about AI, ML, and Backend Development
- π Always learning new technologies and frameworks
- π‘ Interested in Autonomous Driving, Recommendation Systems, and Computer Vision
- π§ Email me at [email protected]
- π Check out my portfolio: jungdohyun-portfolio
- π Currently a 4th-year student at Hongik University (2020 - present)
- Major: Computer Engineering (CE)
- π¨βπ» Undergraduate Student at AIS Lab (2024.07 - 2025.06)
- π₯ Founder and Operator of SMYD (2022 - 2024)
- Autonomous Driving & Robotics Research Union Club
- π UMC 5th (2023)
- π‘οΈ Participant in the 2024 Information Security Talent Development Program in Collaboration with Microsoft (2024)
- π― LG Aimers 6th Certificated (2025)
- π― SKALA 2nd Certificated (2025)
-
β Prediction of Rotator Cuff Retear Risk After Arthroscopic Rotator Cuff Repair and AI-Based Personalized Rehabilitation
- In collaboration with The Catholic University of St. Mary's Hospital
-
β Applicability of Machine Learning for TDMA Resource Allocation Optimization in Tactical Data Links
- In collaboration with Agency for Defense Development (ADD)
-
β PETAL: Projection-based Episodic Training for Adaptive Learning in Fine-Grained Few-Shot Pollen Fossil Classification
-
β Development of unmanned reconnaissance system for wire fence
- published in the Proceedings of the Korean Society of Information Processing(2023)
-
π Apparatus and Method for Predicting Clinical Indicators of Patients Using Artificial Intelligence
- Patent pending (under examination)
-
π Barbed Wire Unmanned Reconnaissance system
- Published Patent No. 10-2025-0074952 (KIPO) (View on KIPRIS)
- π 3rd place in the Autonomous Driving AI Algorithm Development Challenge, 2024
- π± Deployed iOS App "Homeat", 2024
- π Co-author of the paper "Development of unmanned reconnaissance system for wire fence", 2023
- published in the Proceedings of the Korean Society of Information Processing



