🦾 Physical AI & real robots
🧑🏫 STEM education
🛠️ Hardware, code, and “why is it doing that?”
🤝 Connecting people and getting projects unstuck
I like work that leaves the screen and starts moving.
Most days, that means real robotic systems: collecting data, testing behavior, chasing weird failures across software, hardware, and mechanics — and turning “something feels off” into something engineers can actually reproduce.
I also teach physics, programming, and robotics to kids and teenagers. What interests me most is the overlap: Physical AI as something students can build, program, break, question, and understand — not just watch through a black box.
I’m usually the person connecting the dots (and the people): operators with engineers, an idea with a prototype, and a stuck project with its next step.
- robot arms, teleoperation, and real-world testing
- Python, ROS 2, Linux, Docker, and small useful automations
- electronics, sensors, Raspberry Pi, Arduino, and 3D printing
- hands-on STEM education
- teams that actually talk to each other
- ChatGPT Custom Instructions — a practical, evidence-informed update of the prompt I’d been using for years, rebuilt for current GPT-5 models.
Most of my robotics work is proprietary. The public stuff here is what I can share properly — without pretending every weekend experiment is a “startup.”
Robots, curious kids, and projects that finally move — preferably in the intended direction.
