About

David Harrison is a highly skilled Machine Learning Engineer with over 4 years of relevant experience. Currently working at Apple, he is responsible for developing and implementing efficient computer vision models using ML, AI, and functional programming. David has a strong background in software engineering, Python, and Java, which he leverages to build high-quality models that meet business requirements. David's professional experience includes working as a Machine Learning Engineer at xnor.ai, where he developed novel architectures and training procedures for computer vision models. He also has experience in understanding and implementing models described in both classical computer vision and state-of-the-art deep learning papers. David's expertise in C++ coding for efficient on-device inference has been instrumental in his success as a Machine Learning Engineer. David's past experience also includes working as a Software Developer Intern at Adobe, where he developed a monitoring framework for ongoing issues in Python. He also worked on everyday tickets in the existing Java codebase, gaining valuable experience in software development. David holds a Bachelor of Arts (BA) degree in Computer Science from the University of California, Berkeley. He has a strong technical background in ML, computer vision, deep learning, software engineering, Python, and Java. David is a skilled and accomplished professional with a passion for teaching. He has experience teaching ML and AI to students and is always looking for ways to share his knowledge and expertise with others. With his technical expertise and passion for teaching, David is a valuable asset to any organization.