Daeun Kim
Data Engineer
Seoul, United States
Summary
👤
Senior🎓
Top SchoolDaeun Kim is a data engineer and machine learning practitioner with nine years of experience building AI-driven solutions across industry and international organizations. She combines deep expertise in computer vision, LLMs, and scalable data architectures—having delivered projects from U-Net and NeRF-based phenotyping pipelines to GPT-4-backed ETL systems using MongoDB and AWS. Her work spans research-grade model development (90%+ correlation on crop phenotyping, PPO for breeding optimization) and production-focused engineering (server and network architecture consulting at Dell, real-time vision at Intel). Daeun has applied AI in high-impact contexts—from optimizing breeding systems and accessible education tools to analytics for the UN and World Bank—demonstrating an uncommon ability to translate research into operational value. Currently at Samsung Electronics America’s New Technology Introduction team, she brings a cross-disciplinary perspective that blends hands-on model building, systems design, and policy-aware data work.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science - Artificial Intelligence, Master of Science - MS, Computer Science - Artificial Intelligence at Iowa State UniversityVisiting Student, Business Consultancy, Visiting Student, Business Consultancy at Fachhochschule Wiener NeustadtBachelor of Science - BS, Computer Science and Business Administration, Bachelor of Science - BS, Computer Science and Business Administration at Handong Global University
English, Korean
Github Skills (6)
points9
python6
rest6
apache5
apache-airflow3
airflow3
Programming languages (3)
Github contributions (5)
dekink/good
Jul 2016 - Dec 2019
for lecture
Contributions:4 PRs, 6 pushes, 1 branch in 3 years 5 months
dekink/sts_project_Accio
Jun 2017 - Jun 2021
스프링프로젝트(학교학생들전용중고거래사이트)
Contributions:1 PR, 1 push, 1 branch in 4 years
reactreact-queryjpa
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