Garam Choi is a data engineer with 8 years of experience building high-throughput backend services and video-understanding AI pipelines, primarily in Java and Kotlin while also coding in Python, JavaScript, Go, and recently contributing Rust to open source. He has designed and optimized APIs serving millions of users at Kakaobank (~1000 TPS), reduced latency through async processing and caching, and automated manual workflows to cut administrative time from hours to minutes. His background spans database query engines (Apache DataFusion contributions), frontend, web scraping, and browser automation, reflecting a pragmatic full-stack curiosity. Comfortable across cloud and on-prem stacks and open to global remote roles, he blends hands-on implementation with performance-first architectural thinking. An uncommon detail: he pairs formal training in both computer engineering and psychology, which informs his user-centered approach to systems design.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree Psychology, Bachelor's degree Psychology at Utrecht University
Bachelor's degree Computer Engineering Psychology, Bachelor's degree Computer Engineering Psychology at Sungkyunkwan University
Contributions:152 commits, 2 PRs, 104 pushes in 1 year 8 months
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