Chris Horn is a Lead AI Engineer with 11 years of experience building scalable data analytics and machine learning systems across retail, ad tech, healthcare, and nuclear domains. He combines functional programming and domain-driven design with pragmatic infrastructure-as-code to simplify complex, distributed pipelines using Spark, Kafka, Kubernetes, and cloud ML platforms. At Target and System1 he led efforts to productionize models, implement declarative deployment/configuration for traffic shaping, and reduce integration friction between data scientists and engineering teams. He emphasizes that most software cost lives at interfaces and edges, so he pairs technical solutions with clear data contracts and cross-team communication. Comfortable across Scala/Kotlin/Java, Python, and full-stack web tooling, he also brings hands-on experience with TSDBs, Akka, and feature warehousing for A/B testing. Based in Pittsburgh, he favors solving real business problems by shrinking operational entropy as much as by improving model accuracy.
10 years of coding experience
13 years of employment as a software developer
B.S. Computer Science, B.S. Computer Science at Shippensburg University of Pennsylvania
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.