Sunggeun Kim

Staff Machine Learning Engineer at Intuit

San Jose, California, United States
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Summary

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Senior
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Top School
Sunggeun Kim is a Lead Machine Learning Engineer based in San Jose with nine years of experience building production ML systems across tech and enterprise—most recently enhancing GenAI-driven recommendation systems at The Walt Disney Company. His background spans LLM-powered developer tools, RAG and agentic flows at Capital One and Microsoft, and anomaly detection and telemetry for cloud operations, blending deep learning research with pragmatic engineering. He holds a Ph.D. in Electrical Engineering and a history of publishing and high-performance simulation work from his time in academia and at Intel, which informs his rigorous approach to model evaluation and monitoring. Known for moving models from prototypes into robust, observable services, he pairs prompt engineering and automated LLM evaluation with scalable data pipelines. Outside product work he brings a human-centered perspective to AI—focusing on solutions that genuinely help people rather than tech for its own sake.
code9 years of coding experience
job18 years of employment as a software developer
bookM.S, Information and Communication, M.S, Information and Communication at Gwangju Institute of Science and Technology
bookPh.D, Electrical engineering with Computational Science and Engineering (CSE) program, Ph.D, Electrical engineering with Computational Science and Engineering (CSE) program at Purdue University
bookB.A, Electrical Engineering, B.A, Electrical Engineering at Ajou University
languagesEnglish, Korean
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Github Skills (13)

android6
azure-data-explorer4
scale3
python3
cross-language3
sdk3
flatbuffers2
dotnet2
serialization2
bond2
json2
cross-platform1
microsoft1

Programming languages (2)

C++Python

Github contributions (5)

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sunggeunkim/datastructure

Feb 2017 - May 2025

Contributions:163 pushes, 1 branch in 8 years 4 months
Contributions:10 commits, 10 pushes, 1 branch in 1 year 10 months
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