Soojeong Kim is a software engineer with nine years of experience building system- and user-facing software, currently contributing to Google Developer Group Korea and developing MLOps infrastructure at FriendliAI. She holds advanced computer science training from Seoul National University (PhD) and a BS from KAIST, and has a background in low-level and graphics work (C/C++, OpenGL) as well as JVM and Lisp languages. Her career includes OS GUI component development at TMAX and hands-on internships applying big data and language-prediction models, reflecting a mix of research depth and practical product delivery. Fluent in Korean and advanced in English, she is motivated to grow her programming skills in the U.S. market and to bridge research-grade ideas into production-ready systems.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Seoul National University
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Korea Advanced Institute of Science and Technology
A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
Contributions:112 commits, 16 PRs, 115 pushes in 3 years 7 months
pytorchdeep-learninggpumachine-learningtraining
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