Agentic AI Engineering Consultant - Curation Knowledge Engineering Domain Modeling
Redwood City, California, United States
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Summary
👤
Senior
🎓
Top School
Gully Burns is a Principal AI architect and scientist who combines 20+ years of academic and applied research with 11 years of focused industry experience building agentic systems that map complex scientific domains into decision-grade models. He has led research groups and secured competitive grants at USC/ISI, then translated that knowledge engineering expertise into prototypes and production-focused agent orchestration at the Chan Zuckerberg Initiative and now his consultancy, Sciknow.io. His work centers on the “upper layers” of AI—reasoning loops, memory, and orchestration—bridging high-level scientific vision with pragmatic engineering that earns deep technical trust from senior stakeholders. Notably, his CZI projects included early agent prototypes used as templates for larger platforms and biocuration pipelines that tame partially-formed scientific data. Based in Redwood City, he blends neuroscience and physics training (D.Phil., Oxford; BSc, Imperial) with hands-on software and data systems experience. He often works at the intersection of scientific landscaping, NLP, and knowledge representation to make messy research data actionable.
11 years of coding experience
19 years of employment as a software developer
D.Phil., Physiology, Neuroscience, D.Phil., Physiology, Neuroscience at University of Oxford
BSc, Physics, BSc, Physics at Imperial College London
Contributions:1 release, 18 pushes, 1 branch in 2 years 2 months
bioinformaticsweb-application
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