Key Skills

Freelancer Overview

I am a Robotics Engineering graduate student with a strong background in computer vision, machine learning, and autonomous systems, specializing in data annotation and AI training workflows. My hands-on experience includes developing and optimizing computer vision pipelines using Python, OpenCV, TensorFlow, and PyTorch, where I achieved over 97% accuracy in traffic sign detection and 96% accuracy in vehicle detection through meticulous data preprocessing, labeling, and model validation. I have worked extensively with sensor fusion, SLAM, and embedded systems, contributing to IEEE-published research and real-time AI solutions in domains such as autonomous navigation, agriculture IoT, and industrial safety. My expertise in creating robust datasets, implementing data augmentation techniques, and evaluating model performance ensures high-quality training data for advanced AI applications.

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