Bryan Brandt

Background

About Bryan Brandt

As a Contract AI Engineer at Affine Health, I design and deploy end-to-end machine learning systems tailored to the unique challenges of healthcare data. From large-scale ETL pipelines to deep learning architectures, I build solutions that translate complex patient records into actionable insights. My core expertise lies at the intersection of AI and healthcare analytics, leveraging PySpark, AWS, PyTorch, and Scikit-learn to model, analyze, and improve clinical outcomes. Whether it’s embedding longitudinal patient histories in latent space or optimizing risk adjustment models, I bring a backend engineering mindset with a performance-first approach. Previously trained in Applied Behavior Analysis, I transitioned into AI engineering to bring data-driven intelligence into one of the most complex and impactful domains: healthcare. That pivot fuels my current focus—developing analytics frameworks that identify high-impact diseases, support decision-making, and scale across payer-provider systems. Recent work includes-Designing a text-to-SQL interface over healthcare datasets -Leading modeling and analytics for the top 5 most burdensome disease categories -Architecting foundation model pipelines for structured and unstructured EMR data I'm especially interested in collaborating with others working on healthcare AI, risk stratification, or large-scale clinical data platforms. Let’s connect if you’re building in this space—or want to.