Soojin Lee
Data Scientist
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSoojin Lee is a data scientist with 8 years of experience building production AI systems and personalization engines across education, media, and industrial chemicals sectors from Seoul. She currently leads AI agent and automation initiatives at DONGWOO FINE-CHEM, delivering RAG-based patent review and 24/7 EHS response agents using FastAPI, vLLM, LangChain and FAISS. Previously she drove personalization, CRM and enterprise Q&A platform projects as a senior ML engineer—combining time-series customer embeddings, LLM pipelines and VDBs to boost engagement and revenue. Comfortable across the ML stack from research to deployment, she stitches together model infra (Ray, Kubeflow, MLflow), vector DBs and business workflows to produce measurable product impact. Colleagues describe her as a pragmatic PM-engineer who turns diverse, messy business data into operational AI services that scale.
8 years of coding experience
6 years of employment as a software developer
공학석사, 산업정보시스템, 4.41, 공학석사, 산업정보시스템, 4.41 at 서울과학기술대학교
Github Skills (44)
recommendation-engine10
python10
machine-learning10
keras10
matrix-factorization10
lstm10
collaborative-filtering10
deep-learning10
recommender-system10
recommender10
tech-blog10
chatgpt9
web-application9
recommendation-system9
django9
Programming languages (4)
Github contributions (5)
lsjsj92/kubeflow_example
Apr 2020 - Jun 2021
kubeflow example
Contributions:18 commits, 13 pushes, 1 branch in 1 year 2 months
kubeflowpythonpython3machine-learningdeep-learning
lsjsj92/recommender_system_with_Python
Jan 2020 - Jul 2021
recommender system tutorial with Python
Contributions:18 commits, 19 pushes, 1 branch in 1 year 6 months
pythonrecommender-systemrecommendation-systemrecommendation-enginematrix-factorization
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