I am deeply passionate about Machine Learning, Data Analysis, and Robotics. Currently, I am working extensively with ROS, MuJoCo, and Gazebo as part of my journey into robotics simulation, control, and system integration. Alongside this, I continue to explore computer vision and its applications in autonomous systems.

I enjoy exploring how machine learning can be applied to automation, robotics, and geospatial analysis, with a particular focus on deep learning architectures like ResUNet and SegFormer, and their optimization using specialized loss functions. My approach combines strong conceptual understanding with hands-on implementation, aiming to deliver solutions that are both innovative and practically impactful.