I am a highly motivated individual pursuing my master’s in Robotic Systems Engineering with expertise in computer vision, machine learning, robotic frameworks (ROS), and deep learning. I have hands-on experience in developing visual inertial localization algorithms and working with visual inertial sensors. My proficiency in Python, C++, and tools like TensorFlow and OpenCV enables me to contribute effectively to state-of-the-art robotic navigation systems. I thrive in multidisciplinary environments and am passionate about applying innovative solutions in robotics, autonomous vehicles and industrial automation.
Developed computer vision-based localization and mapping algorithms using ROS, OpenCV, and TensorFlow.
Integrated stereo cameras, IMUs, and LiDAR systems for SLAM in autonomous robotics platforms.
Collaborated with teams to test and optimize robotic platforms (e.g., Clearpath Husky) in real-world environments.
M.Sc. Robotics Systems Engineering
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