Summary
Dakota Blair is an Applications Engineer in New York with 13 years of software engineering experience and a PhD in mathematics, specializing in number theory. He blends rigorous abstract reasoning with practical industry practices to design automation, reporting, and cloud solutions—most recently building client-facing AWS monitoring and billing analytics at Logicworks and driving engineering work at Brookhaven National Laboratory. Dakota has a strong track record as an instructor and mentor, having taught programming and math at multiple institutions and guided interns and colleagues through complex projects. He is proficient in Python, SQL, Jupyter, and cloud platforms, and has reduced operational exceptions and automated large-scale billing workflows that process tens of gigabytes per month. Comfortable simplifying intricate concepts for diverse audiences, he excels in mission-focused environments that value continuous learning and measurable impact. An uncommon strength is his combination of doctoral-level mathematical insight with hands-on production engineering, enabling him to tackle problems both analytically and pragmatically.
12 years of coding experience
11 years of employment as a software developer
Masters, Mathematics, Masters, Mathematics at Texas A&M University