About

Tom Knowles is a highly skilled software engineer with a strong background in machine learning and infrastructure development. He is currently working at Aurora, where he is responsible for the development of machine learning infrastructure for Mineral: X's sustainable agriculture moonshot. Prior to this, Tom worked as a software engineer intern at X, where he gained valuable experience in machine learning infrastructure development. In addition to his work at Aurora and X, Tom has also worked as a graduate teaching assistant at Stanford University School of Engineering. During his time at Stanford, he taught a variety of courses, including Machine Learning, Complexity Theory, and Theory of Computation. Tom holds a Bachelor's degree in Mathematics and a Master's degree in Computer Science, both from Stanford University. He has a strong technical background and is proficient in a variety of programming languages and tools. His technical expertise includes software engineering, machine learning, and infrastructure development. With 1.43 years of relevant experience, Tom is a highly motivated and skilled professional who is committed to delivering high-quality work. He is passionate about using his technical skills to help solve complex problems and is always looking for new challenges and opportunities to learn and grow. If you are looking for a talented software engineer with a strong background in machine learning and infrastructure development, Tom Knowles would be an excellent choice.