Devin De Witt
About Devin De Witt
Devin De Witt is a Software Engineer with a Master's degree in Electrical Engineering from the University of Washington. He has a strong background in machine learning, particularly in computer vision and deep learning, and has worked at Milliman since 2019.
Work at Milliman
Devin De Witt has been employed at Milliman as a Software Engineer since 2019. In this role, he applies his expertise in software development and engineering to contribute to various projects. His work involves utilizing programming languages and software tools to address complex problems in the industry. Milliman is known for its focus on analytics and technology solutions, providing Devin with opportunities to enhance his skills and engage in innovative projects.
Education and Expertise
Devin De Witt earned a Master of Science in Electrical Engineering from the University of Washington, completing his studies from 2019 to 2022. Prior to this, he obtained a Bachelor of Science in Electrical and Computer Engineering from Seattle University, where he studied from 2016 to 2019. His academic background includes minors in computer science and mathematics, which complement his engineering education. Devin has a strong interest in machine learning, with a focus on computer vision and deep learning.
Background
Devin De Witt has a solid foundation in engineering, having studied Electrical and Computer Engineering at Seattle University. During his undergraduate studies, he worked as an Undergraduate Research Assistant at Seattle University for three months in 2018. This role allowed him to gain practical experience in research and development, further enhancing his technical skills. His education and early work experience have shaped his career trajectory in software engineering.
Technical Skills
Throughout his academic journey, Devin De Witt developed strong programming skills, particularly in C++. His studies in Electrical Engineering and Computer Engineering provided him with a robust understanding of software development principles and practices. His technical expertise is complemented by his passion for machine learning, specifically in areas such as computer vision and deep learning, which are increasingly relevant in today's technology landscape.