AI & Robotics Engineer • AI and Cyber security (2026) •

• Email: co.winniecyberai@gmail.com
• Phone: +66 92 268 0017

I’m Chatnatda Ovatanupat (Winnie).
I believe engineering is not just about writing code or building machines. It is about understanding people, their problems, and designing systems that can truly help. My interest in technology grew from curiosity, but it became a purpose when I started working on real-world problems in healthcare, robotics, and environmental sustainability.

Through projects like KNEEDEE (AI for knee health), autonomous agricultural robotics, and data-driven applications for public health, I have learned how engineering can be used as a tool for care, whether that means supporting doctors, reducing pollution, or improving everyday life. I enjoy working through challenges and real users, because that is where meaningful innovation happens.

I am especially interested in the intersection of artificial intelligence, biomedical technology, and secure cyber-physical systems. I’m always looking for ways to make technology more responsible, reliable, and human-centered.

This GitHub is a record of that journey: experiments, prototypes, research, and systems I’ve built while learning how to turn ideas into real, working technology.

• Languages: Python, MicroPython, C, C ++ , HTML , CSS
• AI / CV: OpenCV, TensorFlow / PyTorch (notebooks), Pictoblox ML (education)
• Robotics: ROS basics, sensors (GPS, gyro), ray-casting navigation concepts, Raspberry Pi, Esp32, Arduino
• Tools: Git, CVAT (labeling), GitHub, VS Code, Unity, Blender
• Other: Data collection, experiment design, model evaluation

(Click a project name to open its repo)

• PWS-Robot — Autonomous sugarcane field robot (gyro & GPS → Cartesian navigation, ray-casting boundaries).
  Notes: hardware code (MicroPython), nav algorithm, simulation notes, dataset links.

• Kneedee-AI — Knee condition screening using camera images (labeled images, validated with clinician feedback).
  _Includes: The full AI training pipeline ('.sb3').

• KIBO-RPC-AI — Vision & dataset work for Astrobee navigation challenge (CVAT labels, ArUco experiments).