Daniel Farrell
AI ML Solutions Architect at University of North Dakota
Colorado, United States
Summary
👤
Senior🎓
Top SchoolDaniel Farrell is an AI/ML Solutions Architect with over two decades of experience designing and delivering mission-critical databases, analytics, and cloud-native systems that have driven tens of millions in value. Currently shaping distributed SQL and PostgreSQL-compatible internals at Yugabyte, he combines deep hands-on expertise in consensus, distributed transactions, and Kubernetes with practical machine learning and graph analytics applied in production. He’s embedded with 100+ enterprises and governments, moving between startups and hyperscalers to solve thorny performance, scalability, and observability problems (most recently at Splunk and Katana Graph). Daniel publishes widely—authoring books and training courses—and is finishing a PhD focused on optimized graph traversal for time-series and geo-spatial relationships. Known for turning failed patterns into repeatable architectures, he regularly bridges E-suite strategy and low-level system design to deliver resilient, revenue-driving platforms.
10 years of coding experience
29 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Regis UniversityBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Phoenix
Github Skills (20)
cloud-foundry7
stargate6
foundry6
cli5
reaper5
cassandra4
api3
datastax3
grafana2
apache2
nosql2
tooling2
kubernetes2
operator2
helm2
Programming languages (3)
Github contributions (5)
farrell0/MongoDB-Developers-Notebook
Mar 2016 - Jul 2017
Contributions:192 commits, 189 pushes, 1 branch in 1 year 3 months
farrell0/DataStax-Developers-Notebook
Sep 2017 - Oct 2021
Contributions:301 commits, 283 pushes, 1 branch in 4 years 1 month
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