Jonas Kim
Senior Data Scientist
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJonas Kim is a Senior Data Scientist based in Seoul with a decade of hands-on experience building ML systems that move from research to production at scale. At AWS he has delivered practical multimodal solutions—ranging from Stable Diffusion fashion generators and ControlNet fine-tuning to RAG-based document search and LLM agents—that measurably saved engineering time and improved forecasting accuracy. His background spans demand forecasting with DeepAR, multimodal fusion using Swin Transformer and TFT, and production ML engineering with SageMaker, CDK and CI/CD pipelines. Previously he led ML teams at 현대카드 to deploy large-scale recommendation and ad-targeting systems, driving dramatic uplifts in CTR and user engagement via Spark, Airflow and merchant-embedding features. Early experience as a quantitative developer gave him a strong foundation in numerical methods and risk modeling, which he applies to robust model validation and experiment design. He combines deep statistical training from Seoul National University with product-minded execution, regularly turning complex data into operational impact.
9 years of coding experience
14 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at Seoul National UniversityBachelor's degree Statistics, Bachelor's degree Statistics at Sungkyunkwan University
English
Github Skills (7)
transformer8
scikit-learn8
bandit5
python4
lora3
sagemaker3
stable-diffusion2
Programming languages (1)
Github contributions (5)
aldente0630/aldente0630.github.io
Apr 2018 - Jan 2025
Contributions:2500 pushes, 2 branches in 6 years 10 months
jekyll-websitejekylljekyll-theme
aldente0630/multi_armed_bandit
Mar 2019 - Jan 2020
Contributions:21 commits, 10 pushes in 10 months
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