I study Artificial Intelligence at Sungkyunkwan University and build language systems for more human, accessible, and socially aware technology.
My interests sit between NLP, LLMs, and human-centered questions: how AI changes the way people understand information, make decisions, and relate to one another.
- NLP and large language models
- Information accessibility and public understanding
- Fairness, ethics, and social impact in AI systems
- Human-centered AI for care, loneliness, and everyday decisions
- The relationship between poetry, humanities, and computation
- Learning how modern LLM systems are designed, evaluated, and deployed
- Building projects that make complex information easier to understand
- Thinking about how AI can support people without flattening human nuance
Tools and experiments focused on making difficult information clearer, more readable, and easier to act on.
Explorations around trust, fairness, accessibility, and the social effects of intelligent systems.
Creative experiments with language, interpretation, and the boundary between technical systems and human expression.
AI / ML: Python, PyTorch, TensorFlow, Keras, scikit-learn
Data: R, Pandas, NumPy, Matplotlib, SQLite
Web / Product: TypeScript, JavaScript, React, FastAPI, Supabase, PostgreSQL, Vercel
Tools: GitHub, GitLab, Figma, Anaconda, Markdown, C
I write poems and care about building technology with human sensitivity.
Outside of work, I like quiet walks by the sea or in parks, reading in sunny cafes, tennis, and travel.