Jonathan Kung is a software development professional with experience in both internships and full-time roles. At Amazon, Jonathan has worked as a Software Engineering Intern and currently serves as a Software Development Engineer focused on developing systems that utilize machine learning for server scaling. Prior to Amazon, Jonathan held positions at the University of California, Santa Cruz, including a role as a College 10 Representative and a Research Intern, where Jonathan developed a NASDAQ ITCH data pipeline. Experience also includes software development focused on information security and trading algorithms at AQI, employing statistical analysis and machine learning techniques. Jonathan holds a Bachelor of Science in Computer Science from the University of California, Santa Cruz, and has pursued additional education through Coursera in neural networks and machine learning.