Chris Kim has a strong background in software engineering and management. Chris most recently worked at Tebra as a Staff Software Engineer, focusing on Core Services. Prior to that, they held the position of Sr. Software Engineer at Kareo for five years, where they also worked on Core Services. Before that, they were a Sr. Application Developer at Breakthrough PerformanceTech for four years. Chris also has experience in management, having served as a Manager of Software Engineering at Experian Consumer Direct for three years. Chris'searlier experience includes roles at Xap Corp., where they worked as a Managing Engineer for two years, a Senior Engineer for three years, and a Software Engineer for five years. During their time at Xap Corp., they played a key role in designing and developing a new technology platform, implementing a source/version control system, and managing database systems with millions of rows. Overall, Chris Kim has a diverse background in software engineering, management, and database management.
Chris Kim's education history includes a Bachelor of Science (BS) in Architecture from Hanyang University. It is unknown when this degree was obtained or when Chris Kim attended this university. Additionally, Chris Kim has pursued Computer Engineering at California State University, Long Beach, but the details regarding the degree and duration are not provided.
In terms of additional certifications, Chris Kim has completed various courses and programs. These include obtaining the certifications: "Blockchain Basics" from LinkedIn in February 2022, "Learning Kubernetes" from LinkedIn in September 2021, "OpenCV for Python Developers" from LinkedIn in May 2020, "React.js Essential Training" from LinkedIn in November 2019, "Machine Learning Engineer Nano-degree" from Udacity in October 2019, "Learning Docker" from LinkedIn in September 2019, "Building Deep Learning Applications with Keras 2.0" from LinkedIn in June 2019, "Machine Learning and AI Foundations: Value Estimations" from LinkedIn in May 2019, "Python for Data Science Essential Training" from LinkedIn in May 2019, and "Learning Hadoop" from LinkedIn in March 2019.
June, 2022 - present