Summary
Andrew Clarke is an algo engineer with 12 years’ experience building production-grade software and ML systems for trading firms, banks, and humanitarian projects. He holds an MSc in Machine Learning from UCL and a BS in Mathematics from the University of Chicago, and has shifted from web/mobile development into low-latency trading and research engineering. His work spans neural-network research, C++ trading engines, Kubernetes/AWS-based research infra (Terraform, Argo), and end-to-end ML ops—often switching hats daily between research, infra, and trading execution. Notable projects include migrating co-located data centers to cloud, building Kubernetes research clusters, and developing refugee data-collection apps earlier in his career, reflecting a rare mix of production rigor and mission-driven engineering. Based in Chicago, he thrives in small, technology-driven teams where deep research meets robust operational practices.
13 years of coding experience
11 years of employment as a software developer
BS, Mathematics, BS, Mathematics at University of Chicago
University College London
English