Summary
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.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at University of California, Berkeley
Engineering, Engineering at Rutgers University
High School Diploma Computer Science, High School Diploma Computer Science at Bergen County Academies
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
English, Korean