Summary
Roland Daynauth is an AI software developer and long-time educator with 11 years of experience blending research-grade machine learning with practical software engineering. Based in Ann Arbor, he holds a PhD candidacy in Computer Science and Engineering from the University of Michigan and advanced degrees in Data Science and Computer Science, signaling deep theoretical and applied expertise. He teaches at the University of Guyana while contributing professionally at Jaseci Labs, bridging academia and industry to move novel ML ideas toward production. Roland’s background in mathematics and successive master’s degrees underline a strong quantitative foundation that informs his work on lightweight, deployable AI—hence his playful ambition to run an LLM on a toaster. As a former Graduate Student Instructor at Michigan, he pairs technical mentorship with hands-on system building, often focusing on making complex models accessible and efficient. His career reflects a rare mix of pedagogy, research rigor, and pragmatic engineering across diverse institutional contexts.
11 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of the West Indies, St. Augustine Campus
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Michigan
Heriot-Watt University Edinburgh Campus
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Guyana