I am an AI engineer and a Master of Engineering student in Computer Science at Oregon State University. My work focuses on machine learning, computer vision, large language models, and systems that must operate outside laboratory conditions, including remote and edge deployments.

As AI Engineer at E-Ranyx, I am responsible for how AI is implemented in the company’s platforms and for guiding work from research through production. My primary expertise is at the intersection of models and product systems: real-time vision (CNN, YOLO), generative and LLM pipelines including RAG, and the surrounding containerized software.

I emphasize architectures that can be documented, interfaces that expose rather than conceal complexity, and results that can be measured—including 93% weed-detection accuracy, a 90% improvement in LLM response accuracy, and an 80% reduction in client processing time. I seek roles in which I own features from initial investigation through production release.