About

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I’m a software engineer 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.

In the academic space, I contributed to AI research in digital pathology and trained deep learning models to predict cancer-related genetic mutations.

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

  • May 2025-Present

    ANI•Technical Consultant

    • Consulted on platform architecture and product scalability, advising the founder on security, data modeling, and limitations of a mixed no-code/low-code stack spanning separate frontend and backend data stores.
    • Built custom backend integrations using the client’s low-code development toolset, delivering API workflows aligned with product specifications and improving backend reliability.
    • Developed a standalone server to efficiently parse and process complex nested API payloads, bypassing performance bottlenecks in the existing low-code backend and improving data handling speed.

    Architecture

    Consulting

    System design

  • June 2020-Feb 2022

    Republic of Korea Air Force•Senior 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 University•Research 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-Aug 2025

    Gil hospital R&D center•Software 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. 

Projects