Kyle Hegeman is a blockchain-focused software engineer with 12 years of professional experience and a deep background in high-performance C++ systems for quantitative trading. He helped scale a high-frequency spot FX model from $100M to several billion in daily volume, applying data-oriented design and custom analysis tooling to squeeze latency and throughput gains. Comfortable across C++, Python, Ruby and R, Kyle blends research-driven problem solving from his Stony Brook academic work with pragmatic production engineering. His career path, which includes professional poker and graphics internship experience, reflects strong probabilistic thinking and an ability to optimize decision-making under uncertainty—skills he now applies to blockchain and cryptoeconomic systems.
12 years of coding experience
10 years of employment as a software developer
BA, BA at Jacksonville University
MS, MS at University of North Florida
PhD Candidate, PhD Candidate at Stony Brook University
Contributions:9 PRs, 16 pushes, 5 branches in 24 days
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