Hi there!
I'm glad you wanted to get to know me a little better. Feel free to check out some of what I've worked on.
Kevin Galvan Cuesta
AI/ML Researcher & Applied Engineer
Summary
I am currently working as an ML/Computer Vision Engineer, developing an in-house clinical LLM with supporting tooling and Computer Vision diagnostic scanning applications for Android and iOS.
I received my Master's in Computer Science from the Georgia Institute of Technology in Spring 2026, with a concentration in Artificial Intelligence. I completed my Bachelor's with majors in Computer Science, Economics, and Philosophy at Case Western Reserve University in 2022.
Research
Concurrently, I lead research at the Georgia Institute of Technology on the clinical conditions that cause segmentation models to fail, specifically whether post-stroke brain lesion models hold up when introduced to MRI capture degredation. The preprint is available here.
Other research projects I'm involved with:
- Research fellow with SPAR Research, working with Dr. Zhamilia Klycheva on Loss of Human Agency in the Age of Advanced AI – An Agent-Based Model.
- Independent research on the influence of AI and visualizations on human decision-making. The pilot study is available here.
- Research project with a colleague on optimizing expert model loading to increase access to open models.
Previous Experience
Previously, I was a Data Analyst and Engineer at Inspire Brands, where I worked across data engineering and ML-assisted analytics for some of the largest restaurant brands in the country. Before that, I was a Data Science consultant for the California Department of Housing, developing predictive algorithms to improve access to affordable housing. During undergrad, I was both a Computer Vision researcher and a teaching assistant across multiple departments and courses.