Han Kim
Quantitative Researcher
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolHan Kim is a quantitative researcher based in New York with four years of software engineering and research experience, blending low-latency trading systems and quantitative ETF work. He has built production order-routing features at Interactive Brokers and now applies modeling and data-driven strategies at GTS, following internships in modeling & simulation and observability at Anduril and Datadog. A University of Michigan computer science graduate, Han moves comfortably between algorithmic thinking and production engineering, shipping performant systems in finance and defense-adjacent domains. He brings a pragmatic researcher’s mindset—translating simulations and live-process insights into deployable automation—and a track record of rapidly stepping into high-stakes, latency-sensitive environments.
4 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Seoul Foreign SchoolBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Michigan
Github Skills (14)
logging10
otel9
profiling9
stackdriver9
distributed-tracing9
monitoring9
datadog9
pmm9
observability8
agent8
apm-agent8
opentelemetry7
go7
golang7
Programming languages (1)
Github contributions (5)
hankimm/HanBank
Jul 2022 - Sep 2022
Contributions:2 PRs, 35 pushes, 2 branches in 1 month
hankimm/LinuxMemoryManager
Jul 2022 - Aug 2022
Contributions:6 pushes, 1 branch in 7 days
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