Jonathan Suit
About Jonathan Suit
Jonathan Suit is a Senior Engineer with a background in machine learning and computer science. He has worked at various organizations, including Decisive Analytics Corporation and Serco, and holds both a Bachelor's and Master's degree from Georgia Institute of Technology.
Work at Antithesis
Jonathan Suit has been employed at Antithesis as a Senior Engineer since 2022. In this role, he focuses on building innovative projects and applying machine learning techniques to develop impactful solutions. His expertise in machine learning research and practical application allows him to address complex problems effectively.
Previous Experience in Machine Learning
Before joining Antithesis, Jonathan Suit worked as a Machine Learning Scientist at Serco from 2020 to 2022 in Arlington, Virginia. His prior experience includes a three-year tenure at Decisive Analytics Corporation, where he also served as a Machine Learning Scientist from 2017 to 2020. These roles provided him with extensive experience in machine learning applications.
Education and Expertise
Jonathan Suit holds a Master’s Degree in Computer Science from the Georgia Institute of Technology, which he completed from 2015 to 2017. He also earned a Bachelor’s Degree in Computer Science from the same institution, studying from 2012 to 2015. His academic background supports his specialization in solving problems using machine learning techniques.
Early Career and Internships
Jonathan began his career as an iOS Developer at CodeGuard in 2013, where he worked for three months. He also gained valuable experience as a Student Intern at the Georgia Tech Research Institute in 2015 for two months. These early roles contributed to his foundational skills in technology and development.
Continued Learning and Research Engagement
Jonathan Suit actively engages in continuous learning to enhance his knowledge in the field of machine learning. He regularly reads academic papers to stay updated on the latest advancements and research trends. This commitment to learning supports his ability to apply innovative techniques in his work.