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Giussepi Lopez

Computer Vision Enginner

Giussepi Lopez is an accomplished professional with a strong background in machine learning, deep learning, computer vision, software engineering, and web development. With expertise in Python and PyTorch, he has dedicated years to academic and industrial pursuits in these areas.

His education includes a PhD in Computer Science from Queen Mary University of London, a Master of Science in Cloud Computing from Newcastle University, and a Bachelor of Science in Informatic Engineering from Universidad Católica San Pablo, among other specialized studies in project management, information security risks, and technology innovation.

Throughout his career, Giussepi has held various roles such as Computer Vision Engineer at Pear Bio, Demonstrator at Queen Mary School of Electronic Engineering and Computer Science, and Research Assistant and PHD Student at the same institution. He has also worked as a Software Engineer at ZEHNER and U.S. Green Data, Inc., along with freelance positions in web development and leadership roles in various organizations.

His skill set includes critical thinking, problem solving, teamwork, digital literacy, leadership, time and risks management, professional writing, and career management. Giussepi Lopez is known for his professional attitude, work ethic, and interdisciplinary fluency, making him a valuable asset in the technology and innovation field.

Giussepi Lopez
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Location

London, England, United Kingdom