Summary
David Skarbrevik is a Senior Data Scientist in San Diego with nine years of experience building scalable AI and ML products across healthcare, defense, and e-commerce. He has led production-focused projects at CVS Health and Booz Allen, and at Amazon tackled terabyte-scale web data and trained transformer models for HTML document segmentation with high precision. His work spans building knowledge-graph-backed QA systems, computer vision pipelines for geolocation and damage assessment, and ML validation tooling that emphasizes reproducibility and operational metrics. Trained at UC Berkeley’s MIDS and UC San Diego in neuroscience, he combines strong experimental rigor with practical deployment experience, and he’s known for turning noisy, real-world datasets into reliable, interpretable systems.
9 years of coding experience
7 years of employment as a software developer
Master of Information and Data Science (MIDS), Master of Information and Data Science (MIDS) at UC Berkeley School of Information
University of California San Diego