Summary
Jason Grafft is a Senior Data Scientist with 11 years of experience applying AI, graphs, and ML to uncover root causes in complex enterprise systems. He designs and ships production knowledge-graph platforms, Graph+GNN+LLM integrations, and zero-ETL ontologies that have scaled throughput from thousands to millions of rows while cutting modeling and feature-engineering time dramatically. His work spans research-to-production pipelines across industries—from controlling Friction Stir Welding with subsecond ML systems to preventing multimillion-dollar fraud rings for enterprise clients. Comfortable across Python, PyTorch/PyG, Databricks, graph databases, and SQL, he blends information-science rigor with practical engineering to accelerate insights from unfamiliar data stacks. A former educator and mentor, he also has a track record of turning domain expertise into reproducible tooling and measurable operational savings. Based in Galt, CA, he brings an unusual mix of knowledge engineering, hands-on ML control systems, and ontology-driven automation that stabilizes person-hour investments while enabling new AI-driven capabilities.
11 years of coding experience
11 years of employment as a software developer
Master of Acupuncture Acupuncture and Oriental Medicine, Master of Acupuncture Acupuncture and Oriental Medicine at Northwestern Health Sciences University
Bachelor of Arts - BA Mathematics and Computer Science, Bachelor of Arts - BA Mathematics and Computer Science at Thomas Edison State University