About

Nathan Waters is an experienced computer vision and deep learning engineer currently working at 8th Wall. With almost 8 years of relevant experience, Nathan has a strong background in software engineering and has previously worked at Pixar Animation Studios and Booz Allen Hamilton. Nathan completed his high school education at Germantown High School before pursuing a Bachelor's degree in Computer Science at the University of Texas at Austin. During his time at university, Nathan developed a keen interest in computer vision and deep learning, which he has since pursued as a career. Nathan's technical expertise includes computer vision, deep learning, and software engineering. He has a strong understanding of machine learning algorithms and has experience with popular deep learning frameworks such as TensorFlow and PyTorch. Nathan is also proficient in programming languages such as Python, Java, and C++. At 8th Wall, Nathan is responsible for developing computer vision and deep learning solutions that enable augmented reality experiences on mobile devices. He works closely with a team of engineers and developers to design and implement these solutions, ensuring that they are scalable, efficient, and reliable. Nathan's experience and technical expertise make him a valuable asset to any team working on computer vision and deep learning projects. He is passionate about staying up-to-date with the latest developments in the field and is always looking for new challenges and opportunities to expand his knowledge and skills.