Summary
Ali Arfeen is a full-stack software and machine learning engineer with nine years of experience building data-driven, accessible user experiences and production ML pipelines. Based in Chicago, he has shipped microservice architectures and asynchronous data platforms at Stats Perform and Capital One, using a broad stack that includes AWS, Spark, React, TypeScript, Java, and Python. He pairs strong engineering discipline—TDD, paired programming, and stakeholder collaboration—with product-focused UX sensibilities, often turning complex analytics into usable interfaces. Outside of product work he fosters engineering culture, having started a cross-team technical book club and taught full-stack topics as a bootcamp TA. Currently serving on the boards of local community organizations, he blends technical depth with community engagement and an eye for inclusive design.
9 years of coding experience
6 years of employment as a software developer
Full Stack Web Development, Full Stack Web Development at Northwestern University
Bachelor of Science (B.S.) Psychology, Bachelor of Science (B.S.) Psychology at University of Illinois Urbana-Champaign