Kyle Nesbit
Co-Founder at Credible
Denver Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Nesbit is a technical founder and engineering leader who builds AI-first semantic data platforms to make data reliable, ergonomic, and accessible. After nearly two decades of systems and research work culminating in patents for high-performance distributed storage at Google, he led AI, BI, and semantic modeling product efforts—integrating Malloy and Looker into BigQuery for Google Cloud. He co-founded Credible to bring governed, AI-assisted semantic models and no-code analysis to modern data stacks, combining product rigor with hands-on engineering. Kyle's background spans low-level computer architecture research to forward-deployed AI engineering for startups, giving him a rare fluency across hardware-aware systems, ML, and data platform UX. Based in Denver, he blends technical depth with startup execution, often writing code and shipping features alongside founding and advising roles. A detail that surprises: his career threads—from microarchitectural research and distributed storage patents to AI-driven semantic layers—reflect a continuous focus on making complex infrastructure directly usable by downstream analysts and models.
2 years of coding experience
19 years of employment as a software developer
BS PhD Computer Engineering, BS PhD Computer Engineering at University of Wisconsin-Madison
Github Skills (17)
datalog10
sql10
query-language10
database10
data-management9
data-modeling9
data-visualization9
datasets6
machine-learning5
ad-hoc4
php4
composer4
mlflow3
dashboard3
ml2
Programming languages (1)
Github contributions (5)
malloydata/publisher
Nov 2024 - Mar 2025
Contributions:10 reviews, 41 PRs, 24 pushes in 4 months
pathwaysdata/malloy-samples
Oct 2024 - Jan 2025
Malloy model examples and associated datasets
Contributions:4 PRs, 9 pushes, 2 branches in 2 months
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