About Me (한국어)

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👋 Who I Am

의료 영상 AI와 실시간 컴퓨터 비전 시스템을 전문으로 하는 AI Engineer입니다. 6년 이상의 경험을 통해 연구 개발부터 상용화까지 전 과정을 아우르며, 특히 의료 현장에서 실제로 활용 가능한 AI 솔루션 개발에 집중하고 있습니다.

🔬 Core Expertise

• Medical Image Analysis: CT/MRI/IVUS 영상에서의 다장기 세그멘테이션, 혈관 구조 분석, 병변 검출
• Real-time Computer Vision: 멀티카메라 시스템, YOLO 기반 객체 검출, 3D 경로 계획 (A* 알고리즘)
• 3D Medical Visualization: VTK/VMTK를 활용한 3D 메쉬 처리, DICOM 워크플로우, 혈관 특징 추출
• Edge AI Deployment: NVIDIA IGX Orin, HolovizOp를 통한 실시간 추론 시스템 구현

🛠 Tech Stack

Languages: Python, MATLAB, C++

Deep Learning: PyTorch, MONAI, TensorFlow/Keras

Medical Imaging: VTK, VMTK, ITK, 3D Slicer, DICOM

Computer Vision: OpenCV, YOLO, HoloScan

Simulation: PhysicsNeMo, MuJoCo

Hardware: NVIDIA IGX Orin, Jetson

🎯 What Drives Me

AI가 단순한 연구 성과를 넘어 실제 현장에서 도움이 되는 기술이 되도록 만드는 것이 목표입니다. 복잡한 기술적 문제를 실용적이고 효율적인 솔루션으로 전환하여, 기술 혁신에 기여하고자 합니다.

📫 Connect

• Email: [email protected]
• LinkedIn: https://www.linkedin.com/in/jeune/
• Github: https://github.com/gj21kr

Reseume.pdf

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About Me (Eng.)

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👋 Who I Am

AI Engineer specializing in medical imaging AI and real-time computer vision systems. With 6+ years of experience spanning from research to commercialization, I focus on developing AI solutions that deliver tangible value in clinical settings.

🔬 Core Expertise

• Medical Image Analysis: Multi-organ segmentation in CT/MRI/IVUS, vascular structure analysis, lesion detection
• Real-time Computer Vision: Multi-camera systems, YOLO-based object detection, 3D path planning (A* algorithm)
• 3D Medical Visualization: 3D mesh processing with VTK/VMTK, DICOM workflows, vessel feature extraction
• Edge AI Deployment: Real-time inference systems using NVIDIA IGX Orin, HolovizOp

🛠 Tech Stack

Languages: Python, MATLAB, C++

Deep Learning: PyTorch, MONAI, TensorFlow/Keras

Medical Imaging: VTK, VMTK, ITK, 3D Slicer, DICOM

Computer Vision: OpenCV, YOLO, HoloScan

Simulation: PhysicsNeMo, MuJoCo

Hardware: NVIDIA IGX Orin, Jetson

🎯 What Drives Me

Transforming AI from research achievements into practical tools that genuinely benefit end-users. I'm passionate about converting complex technical challenges into practical, efficient solutions that contribute to real-world innovation.

📫 Connect

• Email: [email protected]
• LinkedIn: https://www.linkedin.com/in/jeune/
• Github: https://github.com/gj21kr

Reseume.pdf

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Education

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Education

Master's Degree (2015.09 - 2018.08) Pukyong National University, Busan, South Korea Specialized in Medical Imaging Modalities including Photoacoustic Imaging, Ultrasound, and Optical Coherence Tomography

Visiting Research Student (2016.02 - 2017.01) University of British Columbia, Vancouver, Canada Studied ex-vivo rabbit cancer with polarization-sensitive OCT

Bachelor's Degree (2012.03 - 2015.08) Pukyong National University, Busan, South Korea Majored in Biomedical Engineering with coursework in Physics, Chemistry, Biology, Engineering Mathematics, Optics, Anatomy, Physiology, and Programming

• Hardware design (Zemax, COMSOL Multiphysics)
• Software development (MATLAB, C++, CUDA, Qt)
• Signal/Image Processing and Animal Handling

Certifications

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Career

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Experience

Current Focus: AI/ML Research Engineer at XCath (Oct 2024 - Present) Leading development of digital twin systems and medical simulation platforms for real-time catheter navigation. Integrating 3D medical image segmentation, real-time object tracking, and physics-based simulation to build next-generation medical robotic systems.

• Working on 2D Object Detection/Tracking on Video, 2D Fluoroscopy/3D CTA Segmentation, Synthetic medical image generation, and 2D-3D Registration (GStreamer, YOLO, MONAI, Holoscan, and Omniverse)
• Developing Skeletonization, Path finding algorithms and custom 3D Slicer modules (VTK)
• Simulation of Fluid Dynamics for Blood Flow by using PhysicsNeMo and OpenFOAM
• Simulation of Neuro intervention through MuJoCo and Isaac Sim </aside>

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