Education

Kookmin University, Sep 2022 - Feb 2024

Master of Science in Artificial Intelligence (GPA: 4.03/4.5)

  • Specialized in generative AI and deep learning applications with focus on multimodal data integration

Hankyong National University, Mar 2018 - Aug 2022

Bachelor of Science in Computer Science (GPA: 4.12/4.5)

  • Awarded full scholarship for academic excellence
  • Completed 158 credits (graduation requirement: 130)


Research Experience

Medical Imaging Lab, Seoul National University, Sep 2024 - Present

Research Assistant

  • Advisor: Prof. Nam-Joon Kim (SNU), Prof. Wonjae Lee, Radiologist (Samsung Medical Center)
  • Lead the SUDAL Medical Imaging Team, organizing weekly journal clubs and mentoring junior researchers
  • Solely built the official IMSI Lab website from the ground up
  • Conduct research on conditional abdominal MRI synthesis using segmentation-guided ControlNet pipelines
  • Collaborate with Samsung Medical Center radiologists and NVIDIA researchers on cutting-edge medical AI projects


Professional Experience

GNEWSOFT, Oct. 2024 – Present

AI Researcher

  • Designed and led development of HyperspectralMAE, achieving state-of-the-art performance in classification tasks
  • Extended foundation model to downstream tasks including unmixing, denoising, and pixel-wise classification
  • Fine-tuned LLaMA 3.1 8B and multimodal medical vision-language models based on Gemma architecture

OUTTA, Jul. 2023 – Present

Medical Imaging Team Lead

  • Active contributor in AI organization at Seoul National University
  • Led facial image generation and detection projects using DDPM and ProGAN
  • Taught deep learning and Python bootcamps for 450+ participants (2023) and 650+ participants (2024)

Weatherpia, Mar. 2024 – Aug. 2024

AI Researcher

  • Built weather integration platform providing KMA-based datasets via MariaDB and APIs
  • Delivered accurate weather data to clients including Korean Broadcasting System (KBS)

LG Uplus, Jan. 2024 – Mar. 2024

Data Scientist

  • Built Python-based parser for credit card application data extraction
  • Automated transformation and database insertion processes

SK Telecom, Dec. 2023

AI Instructor (Contract)

  • Delivered 3-day Stable Diffusion training for 30+ engineers from multiple tech teams
  • Led practical sessions on Text-to-Image and Image-to-Image generation

AI O2O Inc., Aug. 2023– Dec. 2023

AI Software Engineer

  • Developed Django-based recommendation systems for travel routes and food preferences
  • Implemented RAG-based chatbot for enhanced personalized interaction

OESON, Jan. 2023– Mar. 2023

Data Analyst

  • Performed sentiment analysis and statistical modeling on complex datasets in Sydney, Australia

NuriFlex Holdings Inc., Nov. 2021– Dec. 2022

Software Engineer

  • Developed REST APIs and batch programs using Java and Spring Boot
  • Maintained CI/CD pipelines in Kubernetes environment

AST Global, Oct. 2020– Apr. 2021

Junior Developer

  • Created AR/VR content using Unity and C# for immersive applications


Research Collaborations

TEAM CEUS (NVIDIA Collaboration)

  • Working with NVIDIA researchers Ping Shu Ho (Cliff) and Ivan Au-Yeung
  • Focus: Diffusion-based contrast-enhanced ultrasound reconstruction and noise reduction

TEAM PNI (NVIDIA Collaboration)

  • Collaborating with Ka-Chun (Charles) Cheung, Ph.D. and Ginny Wong, Ph.D.
  • Focus: Physiology-informed MRI generation and neural parameterization


Key Projects

HyperspectralMAE Foundation Model

  • Developed full-stack hyperspectral analysis platform with PyTorch, FastAPI, Docker, MariaDB
  • Achieved SOTA performance on Indian Pines pixel-wise classification
  • Built lightweight anomaly detection model achieving AUC 92.7 and OA 99.9%

Bilingual LLaMA 3.1 8B Fine-tuning

  • Fine-tuned model using Stanford Alpaca dataset for Korean-English instruction-following
  • Implemented evaluation harness for alignment quality and hallucination suppression

Medical Vision-Language Model Development

  • Fine-tuned Gemma-based VLM on ultrasound, CT, and MRI image-report pairs
  • Enhanced clinical visual reasoning and multimodal understanding capabilities


Patents

Method for Refining Hyperspectral Images Using Deep Learning, Dec 2024

  • Inventors: Hyunjae Park, Seonghun Jeong, Kyeonghun Kim, Taehoon Lim, Dongil Kim
  • Application No.: 10-2024-0199713 (Korea)
  • Applicant: Gnewsoft Co., Ltd.
  • Status: Patent Application Filed


Certifications & Licenses

Professional Certifications

  • TEPS 328 - Seoul National University (2025.06.24)
  • Google Analytics Beginners - Google (2024.05.06)
  • Engineer Big Data Analysis - HRD Korea (2023.07.14)
  • TOEIC 835 - ETS (2023.02.26)
  • Engineer Information Processing - HRD Korea (2021.06.02)
  • TOEIC 920 - ETS (2020.08.30)
  • Korean History Proficiency Test Level 1 - National Institute of Korean History (2020.08.21)
  • TOEFL 76 - ETS (2020.02.15)

Technical Certifications

  • Craftsman Computer Graphics Operation - HRD Korea (2019.04.26)
  • Craftsman Computer Aided Mechanical Drawing - HRD Korea (2019.04.26)
  • ITQ OA MASTER (Word/Excel/PowerPoint) - Korea Productivity Center (2018.03.05)

Specialized Licenses

  • Construction Machinery Pilot Certificate - Korea Transportation Safety Authority (2020.12.10)
  • Pilot of an Ultralight Vehicle - Korea Transportation Safety Authority (2018.11.23)
  • Bus Driver License - Korea Transportation Safety Authority (2019.01.28)

Recreation & Sports

  • RESCUE DIVER - Korea Underwater Association (2019.05.09)
  • ADVANCED SCUBA DIVER - CMAS - World Underwater Federation (2019.05.09)
  • OPENWATER SCUBA DIVER - CMAS - World Underwater Federation (2018.11.21)
  • Windsurfing Instructor Certification Level 3 - Korean Windsurfing and Kiteboarding Federation (2018.10.22)
  • Black Belt Certification (Aikido 1st Dan) - Korean Aikido Association (2015.04.20)


Technical Skills

Programming Languages: Python, Java, SQL, Bash, C#, JavaScript, TypeScript

AI/ML Frameworks: PyTorch, TensorFlow, MONAI, HuggingFace Transformers, scikit-learn

LLM & Vision Models: LLaMA, Gemma VLM, LoRA, RAG, Diffusion Models (DDPM, ControlNet)

Backend & Infrastructure: Django, FastAPI, Node.js, Nginx, Gunicorn, Docker, Kubernetes

Specialized Domains: Hyperspectral/Medical Imaging, Spectral Analysis, Anomaly Detection

Tools: Git, Linux, VS Code, PyCharm, Docker Compose, Unity


Contact Information

Email: khkim1729@gmail.com Phone: +82-10-2947-0453 GitHub: github.com/khkim1729 LinkedIn: linkedin.com/in/khkim1729 Google Scholar: Google Scholar Profile Blog: velog.io/@khkim1729


Note: This CV represents my journey from computer science foundations to cutting-edge AI research, with a focus on medical imaging and practical applications that can benefit society. I am committed to bridging the gap between academic research and real-world clinical solutions.