Summary
Ross Hansen is a Senior Software Engineer with 11 years of experience building production ML and distributed systems for companies from Sandia National Laboratories to Waymo. He has led fraud-and-abuse detection systems at Indeed, developed ML-driven economics tooling at Amazon, and produced research-grade computer vision and high-consequence ML algorithms at Sandia. Comfortable across languages and stacks (C++, Java, Python) and platforms (Spark, Kubernetes, Sagemaker, Kafka), he translates research ideas into operational services. Ross combines rigorous academic training (MS in CS from UCLA) with hands-on production deployment, including remote-sensing data pipelines and automated testing. Colleagues rely on him for pragmatic solutions to thorny data-quality and model-ops problems that often sit between research and production. Based in Elk Grove, CA, he brings a practice of shipping robust, observable systems that reduce real-world risk and fraud.
11 years of coding experience
7 years of employment as a software developer
University of California, Los Angeles
BS, BS at Rose-Hulman Institute of Technology