Summary
Jonathan Helland is a software engineer with 11 years of experience blending applied math, signal processing, and machine learning into reliable production systems. He has built data infrastructure, operator tooling, and live services for Uber’s map systems and now applies that expertise to engineering challenges at Oklo. His background includes ML research at Carnegie Mellon’s SEI and a thesis-driven MS in electrical engineering from Colorado School of Mines, giving him a strong foundation in rigor and experiment design. Comfortable moving between research and production, he focuses on robustness and privacy in ML systems as well as scalable tooling for real-time geospatial services. Based in Louisville, Colorado, he pairs practical coding (“I write code sometimes”) with deep quantitative instincts to solve hard engineering problems.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Colorado School of Mines