At Skoltech’s Quick Success Labs, I developed multiple robotics prototypes, including a Trash Classifier Robot, a Force-Sensitive Gripper, and a Myo-Controlled Robot. Each project combined AI/ML models with sensor-driven control systems to enable real-time, data-driven responses. The prototypes involved hands-on hardware assembly, Arduino programming, and iterative design processes.

Working in cross-disciplinary teams, I collaborated with engineers and designers to refine prototypes based on testing and feedback. This experience strengthened my skills in robotics, rapid prototyping, and applied AI/ML integration.

Tools used included Python, Arduino, sensors, and embedded systems.