Kazbek Kazhyken
Quantitative Research Engineer
United States
Summary
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Senior🎓
Top SchoolKazbek Kazhyken is a Quantitative Research Engineer with nine years of technical experience and a PhD pursuit at The University of Texas at Austin, bridging rigorous academic research with production-grade software engineering. He has progressed through engineering roles at Akuna Capital into a quantitative research position at Citadel, developing mathematical models, numerical methods, and scientific software for fast-paced trading environments. His background as a graduate research assistant and multi-year industry engineer gives him a strong ability to translate complex theory into performant, reliable code under latency and correctness constraints. Skilled in problem solving and model-driven development, he repeatedly shipped solutions across the stack from prototype research to deployed systems. Colleagues rely on him for tackling ill-posed numerical problems and for bringing academic rigor to pragmatic engineering trade-offs. Based in the United States, he combines a deep quantitative toolkit with hands-on experience in low-latency, high-stakes production systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Texas at Austin
German, English, Russian, KazakhProgramming languages (1)
Github contributions (4)
UT-CHG/dgswemv2
Feb 2017 - Sep 2020
Contributions:915 commits, 18 PRs, 541 pushes in 3 years 7 months
kazbekkm/dgswemv2
Oct 2020 - Apr 2021
Contributions:60 pushes, 23 branches in 6 months
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