Summary
Thomas Aref is a Senior Data Scientist with a PhD in Physics and 11 years of experience turning noisy, real-world datasets into production-grade analytics and ML systems. He blends deep academic expertise in experimental physics with hands-on skills in ML, MLOps, cloud-native pipelines, and full-stack web development to ship scalable solutions across Azure, GCP, and AWS. At EarthSense he led analytics and cloud modernization, building Mask R-CNN pipelines, multi-cloud processing for tens of terabytes, and Kubernetes-based microservices while serving as Scrum Master. Now at Fox Robotics he continues to apply computer vision and predictive modeling to drive product outcomes and new revenue streams. Colleagues rely on him for cross-functional leadership, clear stakeholder communication, and pragmatic automation that bridges research code and repeatable deployments. A lesser-known strength is his background in cryogenics and nano/microfabrication, which underpins a methodical, experimentally rigorous approach to solving complex engineering problems.
11 years of coding experience
21 years of employment as a software developer
University of Illinois Urbana-Champaign
English, Danish, Swedish, Norwegian