I am a passionate third-year university student with a background in both robotics and AI. My experience includes implementing embedded firmware for motor control, developing simulation-based autonomous robots, and exploring robot control through AI techniques like imitation learning.
Previously, I focused on autonomous control for competition robots, working with ROS2 on localization, path optimization, and object detection. I have also experimented with deep learning for object detection and reinforcement learning (RL) for policy optimization.
Recently, I've become fascinated with deploying the AI backends I've developed into user-friendly applications that anyone can use. I am now actively engaged in building infrastructure using cloud services like AWS and developing applications with modern frameworks such as Next.js and FastAPI.
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