Johnathan Chiu
About Johnathan Chiu
Johnathan Chiu is a Machine Learning Engineer currently employed at Normal Computing since 2023. He has a background in Electrical Engineering and Computer Science from UC Berkeley and has held various engineering roles at notable companies including Snap Inc., Boeing, and Runway.
Work at Normal Computing
Johnathan Chiu has been employed at Normal Computing as a Machine Learning Engineer since 2023. In this role, he focuses on developing and implementing machine learning algorithms and models to enhance the company's technological capabilities. His work contributes to various projects aimed at improving data processing and analysis.
Previous Experience in Machine Learning
Before joining Normal Computing, Johnathan Chiu worked at Runway as an Applied Research Scientist for four months in 2023. He also held the position of Machine Learning Engineer at Runway from 2022 to 2023 for seven months. His experience in machine learning includes working at Nylas for four months in 2022 and at SandboxAQ as an Artificial Intelligence Resident for two months in 2022.
Software Engineering Background
Johnathan Chiu has a solid background in software engineering, having worked at Snap Inc. as a Software Engineer from 2020 to 2021 for one year. He also served as a Research Engineer at Snap Inc. for three months in 2021. His experience in software engineering complements his expertise in machine learning.
Education and Expertise
Johnathan Chiu studied at UC Berkeley College of Engineering, where he earned a Bachelor of Science (BS) degree in Electrical Engineering and Computer Science from 2018 to 2022. His educational background provides a strong foundation in both theoretical and practical aspects of engineering and computer science, which supports his work in machine learning and software development.
Early Career Experience
In the early stages of his career, Johnathan Chiu worked at Boeing as an Autonomous Systems Engineer for three months in 2017. This role contributed to his understanding of complex systems and autonomous technologies, which are relevant to his later work in machine learning and artificial intelligence.