Implemented DBSCAN Clustering to construct convex and concave hulls for environmental modeling, improving dynamic obstacle detection and supporting multipath mitigation within perception pipeline.

Built a custom annotation tool to label objects for classification, enhancing training data quality for neural networks in radar perception stack.

Developed a synchronization package for camera and point cloud data from rosbags, optimizing data alignment for enhanced tracking reliability.

Validated Multi-Sensor Tracker Performance accuracy by comparing with ground truth data, ensuring high-precision performance metrics for perception stack.

Devised and incorporated advanced computer vision algorithms for hazardous sign, fire, and human detection using Convolutional Neural Networks (CNNs).

Enhanced precision and efficiency of a 6-DoF robotic arm using Pololu motor drivers and linear actuators to perform intricate manipulation tasks in disaster scenarios.

Engineered seamless communication between GUIs and HMI, enabling robust teleoperation and monitoring.

Authored and presented five conference papers, showcasing robotics and SAR technology innovations, and represented projects in prestigious international competitions such as RoboCup, RoboCon, and the World Robot Summit (WRS).