Kirill Sevastyanenko is a seasoned software engineering leader with 12 years of experience building data-driven systems for finance, investing, and lending, now leading Investment AI at Citadel in New York. He progressed through technical and managerial roles—from senior data engineer to head of Surveyor Engineering—demonstrating an unusual blend of hands-on data platform expertise and strategic AI product leadership. His background includes platform architecture and data engineering leadership at fintech firms and a rapid-response backend lead role during the COVID crisis, reflecting comfort with high-stakes, time-sensitive delivery. Trained in mathematics (MSU) and software engineering (Carnegie Mellon), with additional study in statistics and CS at Stanford and LSE, he pairs rigorous quantitative foundations with production-grade software design. Colleagues would describe him as a pragmatic builder who translates complex quantitative needs into scalable, auditable systems that power investment decision-making.
12 years of coding experience
9 years of employment as a software developer
Summer session Stats and CS, Summer session Stats and CS at Stanford University
London School of Economics and Political Science
Master of Science (MS) Computer Software Engineering, Master of Science (MS) Computer Software Engineering at Carnegie Mellon University
Contributions:4 commits, 74 pushes, 16 branches in 7 months
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Kirill Sevastyanenko - Head Of Investment AI at Citadel