Nathanael Irby is a Senior Machine Learning Engineer with 12 years of software experience, currently leading ML initiatives at Nuclearn while also serving as Acting Implementations Manager. He specializes in fine-tuning multimodal LLMs for natural language and time-series tasks, including classification and forecasting, and pairs that ML focus with full-stack proficiency in Python and React. A 4.0 ASU graduate with a BS in Software Engineering and a Business minor, he is augmenting his expertise through a Georgia Tech MS in Computer Science with a Machine Learning specialization. Rapid progression through roles at Nuclearn—from Full Stack Developer to senior ML lead—highlights his ability to move models from prototype to production and to take on cross-functional leadership. Based in Gilbert, AZ, he blends academic rigor with practical delivery and a knack for bridging product, engineering, and implementation needs.
12 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at College of Computing at Georgia Tech
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Arizona State University
Contributions:9 commits, 8 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Nathanael Irby - Senior Machine Learning Engineer at Nuclearn