About

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👋

I’m a fullstack developer who enjoys building thoughtful, end-to-end web experiences—from designing interactive UIs to architecting reliable backend systems. I care about writing clean code, solving real-world problems, and making interfaces that feel good to use.

Right now, I’m working on NibbleAI, a recipe platform enhanced with ChatGPT. It’s a solo project where I’ve been shaping everything from the frontend (Next.js 15, custom Radix UI components) to the backend (PostgreSQL, Docker, AWS). It’s been a great way to push my skills in both infrastructure and product design.

Before this, I contributed to AI research in digital pathology and trained deep learning models to predict cancer-related genetic mutations. I also served in the Korean Air Force, leading training programs for heavy vehicle operations—an experience that taught me a lot about structure, leadership, and staying calm under pressure.

Lately, I’ve been delving into Swift and SwiftUI to create some fantastic utility apps. One of these apps I’m working on helps you keep track of your subway position and promptly alerts you when you reach your destination 🙂

Experience

  • June 2020-Feb 2022

    Republic of Korea Air ForceSenior Airman

    •  Maintained and operated fleet of ground vehicles, achieving a 99% uptime by implementing preventative maintenance protocols and troubleshooting technical issues under tight deadlines .
    • Led training programs for new recruits, improving onboarding efficiency and ensuring operational readiness for over 50 personnel 
  • May 2023-Sep 2023

    Gachon UniversityResearch assistant

    • Engineered AI models achieving 0.85 f1 score for sinusitis detection and 0.85 AUC for endometrial cancer. 
    • Published two peer-reviewed scientific papers with 5-year impact factors of > 5.0.

    AI

    Python

    Tensorflow

  • April 2025-Present

    Gil hospital R&D centerSoftware Engineer

    • Developed a metaverse-based training platform for medical professionals, focusing on immersive, scenario-driven skill enhancement and real-time performance assessment. 
    • Engineered a robust medical labeling application using the Next.js stack, supporting diverse media types and optimized for scalability, performance, and user-friendly workflows.