Bryan ARMSTRONG

At Uber, I build interactive Angular and JavaScript applications for complex, data-driven enterprise workflows. I improved frontend performance by 30%, reduced API response latency by 28%, and increased unit and regression test coverage by 32%.

Previously at FedEx, I designed Spark and Python pipelines processing more than 150 million shipment events for ETA prediction and logistics optimization. My XGBoost and Scikit-learn models improved early risk detection by 24% and reduced missed delivery commitments by 13%.

At Unum Group, I built ETL pipelines and REST API ingestion for healthcare claims, policy, customer, and wellness data. I improved pipeline reliability by 29% and reduced end-to-end data latency by 33% through monitoring, validation, and distributed processing improvements.

I enjoy translating business needs into tested, maintainable software across frontend, backend, cloud, data engineering, and machine learning systems. I work closely with product, operations, data science, and engineering teams using Agile practices, GitHub, Jira, and Confluence.