Aspiring Security Researcher | Scenario driven AI & Web Security
"Curiosity can look uncertain ㅡ but I turn it into trust through my work."
I'm curious by nature, and I enjoy turning complex security concepts into clear, practical insights.
For me, security research isn't just about patching vulnerabilities ㅡ it’s about understanding how systems work, asking what if, and building trust through that process.
- 🔍 AI & Security: Red teaming large language models, with a focus on responsible model and safety.
- 🌐 Scenario-driven Security: I learn across web, system, and AI domains, and combine them into realistic attack/defense scenarios.
- 📝 Documentation & Sharing: I believe knowledge grows when it’s explained, so I write, refine, and share what I learn.
- PyPI Package Checker : Prevents AI-recommended supply-chain risks
- Web App Security : Patched XSS, CSRF, and file upload vulnerabilities in Apache/PHP
- AI Security Research: Private Red Teaming project (focused on prompt injection & model security)