I am an Electrical Engineering Master's student at Northeastern University in the Computer Vision, Machine Learning, and Algorithms concentration. My academic and research experiences have fueled my passion for applying computer vision and deep learning to robotics, particularly in developing intelligent, autonomous systems.Throughout my studies at Northeastern University and Rice University, I’ve gained extensive hands-on experience in computer vision techniques, deep learning architectures, and their applications in real-world projects. With such experiences, I am driven by curiosity as I continuously seek opportunities to expand my knowledge and skills in the latest advancements of AI.My background in electrical engineering, combined with my experience in computer vision and deep learning, has given me a strong foundation to tackle the challenges that come with developing autonomous robots. I am skilled in machine learning frameworks such as TensorFlow and PyTorch, with experience in video processing, algorithm development, and optimization using various frameworks such as TensorRT for real-time performance. I am confident that my skills and experience will make me a valuable asset to any organization that is looking to push the boundaries of robotics, AI, and automation.