Summary
Charles Hill is a Senior Machine Learning Engineer with eight years of engineering experience specializing in geospatial computer vision, SAR analytics, and anomaly/data-drift detection. At Etegent Technologies he has led multi-year RDT&E efforts for DOD/IC customers, cut model creation wallclock time threefold, and integrated automated hyperparameter optimization and process-mining techniques to accelerate reproducible ML pipelines. His background spans full-stack .NET Core and Angular/Blazor development, high-performance C++ optimization (18–60x gains), and practical deep learning on noisy and synthetic datasets. Comfortable moving between research and production, he’s been principal investigator on NGA-funded work and a core maintainer of internal dataset, HPO, and synthetic-data tooling. An early tinkerer who still boots the first PC he built as a teen, he combines curiosity-driven problem solving with disciplined engineering to deliver mission-facing ML systems.
8 years of coding experience
8 years of employment as a software developer
High School Diploma General Studies, High School Diploma General Studies at Wayne High School
Associate of Science - AS Science, Associate of Science - AS Science at Sinclair Community College
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Cincinnati - College of Engineering and Applied Science