Benson Tucker is a software engineer with 12 years of experience building analytics and machine learning infrastructure for high‑performance teams across startups and tech leaders. He has driven architecture and platform work at Argo AI and Google and now focuses on research infrastructure at Jane Street, blending production reliability with data‑driven experimentation. Benson’s background spans end‑to‑end pipelines, real‑time analytics, and ML tooling—rooted in hands‑on work from PySpark ETL and anomaly detection to integrating partner solutions on Google Cloud. He’s comfortable shifting between product, data science, and systems roles, having led analytics engineering efforts at Harry’s and data science/engineering at ChatID. Based in New York, he pairs an urban studies and economics BA with formal data science training from Columbia, which helps him translate business context into technically sound solutions. A thoughtful generalist, he often surfaces nonobvious operational improvements that make ML systems measurably more reliable and maintainable.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (BA), Urban Studies & Economics, Bachelor of Arts (BA), Urban Studies & Economics at Brown University
Certification of Professional Achievement in Data Sciences, Certification of Professional Achievement in Data Sciences at Columbia University - Fu Foundation School of Engineering and Applied Science
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