Sunghyun Cho is an AI Research Engineer based in Seoul with 8 years of software engineering experience and an MS/BS in Computer Science from USC. He currently applies research-grade ML to medical imaging at Lunit after building full-stack features and data pipelines at Grammarly and shipping performance and multi-threaded web innovations at Karrot and Woowa Bros. Comfortable across React/TypeScript front-ends, Java Spring back-ends, and data engineering in Databricks/Kinesis, he has a track record of improving experiment velocity, cutting build times, and automating large-scale metadata backfills. As an open-source contributor he adapted a browser extension to bring Bing ChatGPT to multiple browsers, demonstrating pragmatic UI and build-system refactoring. He pairs academic mentorship experience as a USC TA with a hands-on instinct for productionizing research prototypes into robust, observable systems.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
High School Diploma N/A, High School Diploma N/A at Korean Minjok Leadership Academy
Contributions:8 releases, 59 commits, 16 PRs in 1 month
Contributions summary:Sunghyun primarily worked on developing and modifying the user interface of a web extension for enabling Bing ChatGPT on different browsers. Their contributions include implementing the popup and options interfaces using React and TypeScript. They also refactored the build process and adapted the code to the web extension standard, separating the build process for Chrome and Firefox.
Contributions:20 commits, 17 pushes, 1 branch in 1 year
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Sunghyun Cho - AI Research Engineer at Lunit Cancer Screening