Summary
Nathan Ward is a Principal Software Engineer with 11 years of experience building and productionizing ML systems across startups and Fortune 500s, currently driving platform-level work at Wells Fargo after leading GenAI initiatives at FedEx Dataworks. He combines hands-on MLOps, data engineering, and backend API design—shipping scalable ingestion pipelines, CI/CD with GitOps, and monitoring-driven model rollouts at companies like Wayfair, Merck, and Citi. Nathan has a strong operational focus on latency SLOs, model A/B testing, and observability (Datadog, Grafana, Kibana), and has practical experience integrating LLMs with LangChain and Azure OpenAI. A Michigan State MS/BS alumnus based in Ann Arbor, he pairs academic research experience with pragmatic engineering—having moved search infra from Solr to Elasticsearch and led adaptive risk and cyber-security ML efforts—bringing a blend of production rigor and experimentation to complex, high-impact systems.
11 years of coding experience
15 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Michigan State University
English