Sean Kim

Software Engineer at Databricks

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Sean Kim is a software engineer with a decade of experience building high-performance distributed systems and networking technologies, now working on Spark execution architecture at Databricks. His background blends academic research and industry impact, with contributions to datacenter networking, disaggregated memory, and distributed shuffle systems at Berkeley labs and Google. He has hands-on experience in low-latency trading infrastructure, large-scale video ranking, and billing systems from internships at Citadel, Facebook, Bloomberg, and Ramp, giving him a practical edge in latency- and correctness-sensitive code. As a former head TA for core CS courses at UC Berkeley, he pairs deep systems knowledge with teaching and mentorship experience. Based in San Francisco, he brings an unusual mix of production-grade engineering and systems research that accelerates novel execution and networking designs into deployable platforms.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, Berkeley
bookEngineering, Engineering at Rutgers University
bookHigh School Diploma Computer Science, High School Diploma Computer Science at Bergen County Academies
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
languagesEnglish, Korean
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Github Skills (24)

terasort8
rest8
sdk8
azure6
skeleton6
golang6
yahoo6
azure-sdk-for-go6
benchmarking5
microsoft5
benchmark5
javascript4
spark4
java4
go4

Programming languages (6)

JavaCSSCGoJupyter NotebookPython

Github contributions (5)

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franklsf95/spark-terasort

Jan 2022 - May 2022

Spark Terasort
Contributions:10 reviews, 6 PRs, 18 pushes in 4 months
scalaspark
Streamlining cloud networking
Contributions:104 reviews, 73 PRs, 98 pushes in 5 months
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Sean Kim - Software Engineer at Databricks