Benjamin Gemmill is a software architect and developer based in New York with a decade of experience building low-latency systems, distributed simulations, and data-driven platforms. He has led engineering teams in high-frequency trading and ETF pricing, owning the full pipeline from data ingestion and DB mining to live pricing, risk calculation, and quoting. Deeply versed in C++ template metaprogramming, kernel and UDP networking work, and control/physics simulations, he combines finance-grade performance engineering with a game-development mindset for component-based design. His background spans finance (Morgan Stanley, KCG, Walleye) and infrastructure tooling (Bloomberg), plus early work on distributed game engines and robotics research, reflecting a rare mix of systems, quantitative, and embedded experience. Currently on a research-focused "garden leave," he investigates machine learning, kernel and audio codec development while pursuing fieldwork from aurora-chasing to Sakura season in Japan. Colleagues describe him as a pragmatic problem-solver who prefers elegant, data-driven architectures over heroic hacks.
10 years of coding experience
10 years of employment as a software developer
MS, Mechanical Engineering, MS, Mechanical Engineering at Tufts University
Grade School, Grade School at Chestnut Hill Academy
BSE, Mechanical and Aerospace Engineering, BSE, Mechanical and Aerospace Engineering at Princeton University
Contributions:29 PRs, 288 pushes, 23 branches in 9 years 9 months
docker-configurationsdockerlifeconfigurations
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