Robotics
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I’m a passionate robotics and AI engineer with hands-on experience in ROS2, computer vision, deep learning, and embedded systems. I design intelligent robotic systems integrating hardware, software, and simulation using tools like CoppeliaSim, Gazebo, and Arduino. Skilled in Python, TensorFlow, and PyTorch, I specialize in real-time perception, motion control, and automation projects. Always eager to innovate and collaborate on cutting-edge robotics solutions.
I have hands-on experience in robotics, computer vision, and embedded systems development. My work includes building and simulating robotic systems using ROS 2, CoppeliaSim, and Gazebo, as well as integrating hardware such as Arduino and sensors for real-time data acquisition and control. I’ve also developed AI models for image segmentation, object detection, and automation tasks using Python, TensorFlow, and PyTorch.
My projects combine software, electronics, and mechanical design to create practical and intelligent robotic solutions.
Bachelor’s degree in Automation and Robotics Engineering with a focus on robotics, AI, and embedded systems. Completed multiple projects involving ROS 2-based robot control, computer vision, and deep learning applications. Continuously learning advanced technologies in automation, machine learning, and robotic simulation.