Daeun Kim
Seoul, Korea, Republic of
Summary
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SeniorDaeun 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.
10 years of coding experience
Github Skills (5)
plugin9
rest-api8
command-line-interface8
airflow5
apache-airflow5
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/jellypado
Nov 2021 - Oct 2025
Contributions:1 PR, 4 pushes, 2 branches in 3 years 11 months
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