• Implemented radar target generation and detection module using Python algorithms.• Researched AI models for radar perception and developed Lane detection module.• Utilized SLAM algorithms to generate accurate maps using CPP and ROS.

R&D undergraduate Engineer, worked on several projects which involved advanced research and implementation in the field of AI and autonomous systems: • Implemented state estimator for self-driving race car using Extended Kalman filtering and sensor fusion techniques.• Trained Yolo v4 for object detection and recognition.• Developed software modules for an autonomous home service robot with cutting-edge AI algorithms.

• Illustrated engineering concepts to school students through hands-on experiments in English.• Facilitated engaging STEM sessions to foster creativity and critical thinking skills.• Implemented innovative teaching methods to make complex concepts accessible and fun for students.

• Mentored over 100 students aged 10-17 in robotics courses, fostering technical skills and creativity.• Guided RCJ teams to achieve top rankings in regional competitions, showcasing leadership and teamwork.• Developed real-world projects, enhancing students' problem-solving abilities and innovation mindset.