Vein Kong
About Vein Kong
Vein Kong is an AI Framework Engineer at Modular, where he has worked since 2024. He has extensive experience in software engineering and data engineering, having held positions at various companies including Aquabyte, Stripe, and Intel Corporation.
Work at Modular
Vein Kong has been employed at Modular as an AI Framework Engineer since 2024. In this role, he focuses on developing and optimizing frameworks that support artificial intelligence applications. His expertise contributes to Modular's mission of advancing AI technologies.
Previous Employment History
Vein Kong has a diverse work history in software engineering and data engineering. He worked at Stripe as a Software Engineer from 2021 to 2024. Prior to that, he served as a Senior Software Engineer at Aquabyte for one year, and as a Senior Data Engineer at Formation for two years. His experience also includes positions at Intel Corporation, Credit Karma, Netskope, and Theranos, showcasing a strong background in various technical roles.
Education and Expertise
Vein Kong holds a Master’s Degree in Computer Science from the University of Southern California. He also earned a Graduate Certificate in Mining Massive Datasets from Stanford University. Additionally, he has a Bachelor’s Degree in Computer Science and Economics from the University of Michigan. His educational background supports his expertise in software engineering and data analysis.
Technical Skills and Specializations
Vein Kong possesses a range of technical skills acquired throughout his career. His roles have involved software development, data engineering, and validation tools. He has experience in various programming languages and frameworks, which he applies in his current position and previous roles across multiple organizations.
Early Career Experience
Vein Kong began his career as a Software Engineer Intern at Citigroup from 2004 to 2005. He then worked at Intel Corporation in two different capacities: as a Data Engineer for five years and as a Software Engineer focused on validation tools for four years. This early experience laid the foundation for his subsequent roles in software and data engineering.