computer vision · multimodal ml · applied ai
I'm currently a full-time AI/ML engineer at Accenture Federal Services, while pursuing my Master's in AI with a concentration in Machine Learning at the University of Michigan. I'm a self-declared nerd, and if I'm not behind an IDE coding my little heart away, I'm probably nose deep in a book or outside enjoying a hike in the woods.
$ whoami > AI/ML Engineer @ Accenture Federal Services $ cat focus.txt > computer vision, object detection, multimodal data analysis $ education --current > MS-AI university of michigan · specializing in machine learning > BS-CS calvin university · computer science $ location > washington dc–baltimore area
Graduate work in AI at Michigan, undergraduate CS foundations at Calvin, plus continuing certifications.
Roles across federal AI research, healthcare software, and civil engineering.
Building and delivering AI/ML systems for federal clients. Applied work across computer vision, object detection, and multimodal data analysis. Washington DC–Baltimore area.
Built AI/ML systems for federal research applications. Worked across Python, computer vision, object detection, and multimodal data analysis pipelines. Hanover, New Hampshire · On-site.
Built and maintained data workflows and internal tooling for one of Michigan's largest health systems. Focused on SQL, SSIS pipelines, and cross-team delivery. Grand Rapids, Michigan.
Graded CS coursework and supported students through the intro programming sequence during the fall 2021 semester.
Summer engineering internship covering project management, scheduling, and coordination across active construction sites. Grand Rapids, Michigan.
Applied ML, computer vision, and data engineering — the tools and techniques I work with day to day.
Building spaces for students to grow into engineers — clubs founded, communities led, workshops hosted.