Wonjun Jang

머신 러닝 엔지니어 at Kakao Corp

Seoul, South Korea
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Summary

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Rockstar
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Top School
Wonjun Jang is a Machine Learning Engineer based in Seoul with nine years of experience building production-grade recommendation and conversational AI systems. At Kakao Corp he leads agentic LLM alignment training and end-to-end pipelines—covering PLM pretraining, SFT, DPO/GRPO/DAPO—and published practical work on deploying conversational agents in industry venues. He also has a strong recommender-systems background, having built transformer-based sequential recommenders, C++ dataset builders for large-scale preprocessing, and placed in the RecSys Challenge with a published approach for warm/cold sessions. Prior roles span deploying ML on AWS (SageMaker, ECS, Fargate), Airflow pipelines, Elasticsearch ranking, and Docker/ECS migrations, showing fluency from research to scalable production. Notably, he combines hands-on system engineering (C++ preprocessing, infra automation) with cutting-edge LLM alignment techniques, making him effective at moving models from experiment to service.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, 소프트웨어 학부, 4.16, Bachelor's degree, 소프트웨어 학부, 4.16 at 숭실대학교
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Github Skills (36)

llama10
mecab7
cuda7
transformer6
jekyll6
jekyll-theme6
inference6
pytorch6
lupa5
tensorflow5
deep-learning5
pure-python5
analyzer5
benchmark4
testing4

Programming languages (5)

C++CJavaScriptJupyter NotebookPython

Github contributions (5)

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💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
Contributions:42 commits, 42 pushes, 1 branch in 2 days
blog-siteblog-projectcustomizablejekylljekyll-theme
transformer in tensorflow 2.0
Contributions:105 commits, 11 PRs, 87 pushes in 1 year 8 months
deep-learningtensorflow-2-0transformertensorflowtensorflow-2
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Wonjun Jang - 머신 러닝 엔지니어 at Kakao Corp