Hi there! I'm Ngọc 👋

I am an undergraduate student majoring in Artificial Intelligence, with a specialized focus on Machine Learning and Computer Vision.

My passion lies in bridging the gap between complex research (like YOLOv12) and practical, usable software. I believe AI should be accessible, secure, and easy to deploy.

🚀 What I'm working on:
Currently, I maintain the Human Face Detection project—a robust, Dockerized application powered by YOLOv12 and Flask. I actively work on:

• Optimizing model inference speed.
• Hardening security (input validation, path traversal prevention).
• Creating developer-friendly documentation.

☕ Why Sponsor?
As a student, balancing university coursework and open-source maintenance is a challenge. Your sponsorship acts as a huge motivation booster! It helps me:

• Cover cloud server costs for demos.
• Buy more coffee to stay awake during late-night coding sessions.
• Invest in learning resources to build even better tools.

Thank you for stopping by and for your support! Even a simple star ⭐ on my repo means the world to me.