Summary
John Born is a Software Engineer specializing in machine learning and scalable data pipelines, with nine years of experience building systems that serve Fortune 500 customers like Gap, Macy’s, and Alaska Airlines. At Amperity he accelerated identity resolution to cut customer onboarding from 10 days to 1, built a dashboard tracking 100+ data quality metrics, and improved pipeline reliability to 99.9% through event-driven alerting and self-serve fixes. His background spans cloud migrations and ETL modernization (AWS, Airflow, PySpark, Terraform) from Groupon to research in swarm robotics at UIUC, reflecting both production chops and strong systems theory. Based in Seattle, he blends pragmatic engineering with a playful curiosity for ML applications, often focusing on operational simplicity that reduces support load and time-to-value for enterprise customers.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of Illinois Urbana-Champaign
High School, High School at St Charles East High School
English, Spanish