Summary
Kristian Eschenburg is a Senior Data Platform Engineer with a PhD in Biomedical Engineering and a decade of experience building cloud-native data systems and ML models for biomanufacturing and biomedical research. He designs and deploys scalable ELT and event-driven architectures (Dagster, AWS, Kubernetes) that improve data integrity and enable real-time analytics, while also developing advanced ML solutions—from GNNs for MRI segmentation in his doctoral work to LLM and graph-based models for antibody–antigen prediction. His background spans hands-on research, production ML, and infrastructure: he’s shipped data lakes, APIs, and visualization tools that make scientific data more accessible and traceable. Based in Seattle, Kristian combines deep domain knowledge in biology with production engineering rigor, and has a track record of turning complex experimental workflows into robust, automated pipelines that accelerate discovery.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical Engineering, Doctor of Philosophy (Ph.D.) Biomedical Engineering at University of Washington
University of California, Los Angeles
German, English