Summary
Dev Nambi is a data scientist and seasoned engineer with 14 years of experience building production-grade analytics, ML models, and data platforms for academia, healthcare, and government. He has led enterprise data warehouse and genomics workflow efforts, designed scalable recommendation and enrollment-prediction systems at the University of Washington, and scaled digital-lab infrastructure and deep-learning pipelines at Fred Hutch. Comfortable across the stack—from SQL and databases to deep learning and production orchestration—he pairs rapid prototyping with pragmatic, results-driven delivery. Based in Seattle, he has a track record of translating messy institutional data into actionable programs that improve student outcomes and operational planning, and his self-described aspiration as a polymath reflects a broad technical curiosity beyond any single toolset.
13 years of coding experience
20 years of employment as a software developer
Bachelor of Science Informatics, Bachelor of Science Informatics at University of Washington
English, Spanish, French