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Medical AI researcher specializing in generative AI and medical image synthesis. I build diffusion model-based systems for adaptive radiotherapy, with expertise in computer vision, NLP/LLM, and scalable MLOps pipelines.
About
I am a Medical AI researcher and M.S. candidate at Kumoh National Institute of Technology, specializing in generative AI and medical image synthesis for adaptive radiotherapy. I have published 2 peer-reviewed conference papers (1 oral, 1 poster) and have 1 paper under review at MICCAI 2026.
My expertise spans diffusion models, computer vision, NLP/LLM, time series forecasting, and MLOps. I design and implement deep learning systems — from data preprocessing through model training, evaluation, and containerized deployment — with a focus on reproducible, production-ready AI research.
Check out my last projects

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Projects
PyTorch / Diffusion Models (DDPM) / U-Net
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PyTorch / WideResNet-101-2 / FAISS-GPU
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PyTorch / EfficientNetV2-S / Transfer Learning
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Jupyter Notebook / Computer Vision / Image Classification
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Jupyter Notebook / Instance Segmentation / Computer Vision
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Jupyter Notebook / CIFAR-10 / Deep Learning
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Jupyter Notebook / Neural Networks / Optimization
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Jupyter Notebook / Image Classification / Kaggle
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Python / Computer Vision / Image Classification
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Jupyter Notebook / CycleGAN / Image Translation
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Jupyter Notebook / Medical Imaging / Detection
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Jupyter Notebook / DDPM / Medical Imaging
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EJS / JavaScript / Node.js
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JavaScript / Web Development / Frontend
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JavaScript / DOM / Browser UI
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