Summary
Harrison Hoffman is a Senior Engineer, Data and AI based in Dallas with seven years of hands-on experience building data engineering, machine learning, and analytics solutions across healthcare, finance, edtech, HR services, and energy. He combines a strong mathematics background (BS/MS, UT Dallas) with practical production experience at companies from Black Knight to Cisive, delivering measurable value through models and data pipelines. A published author for Real Python and Towards Data Science, he also bridges the gap between rigorous statistical thinking and pragmatic software development. Harrison’s work spans consulting and in-house roles, showing an ability to adapt methods to domain constraints and compliance needs. He’s as comfortable diving into statistical theory as he is shipping reusable code, and often applies mathematical intuition to simplify complex ML problems.
7 years of coding experience
5 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at The University of Texas at Dallas