Summary
Scott O'hara is a seasoned software developer specializing in data analysis and machine learning, with a career that spans embedded CAD tools and microprocessor design through to data-intensive military supply-chain systems. He combines deep algorithmic and systems experience (C/C++, Unix/Linux, VMS) from long tenures at DEC/Compaq/Intel with recent hands-on work in Common Lisp building end-to-end data products—data cleaning, statistical modeling, ML algorithms and productionization. Relentless as an investigator and careful as a developer, he thrives in interdisciplinary teams, mentors junior engineers, and keeps multiple technical projects active at once. His academic background in computer science and physics, plus doctoral work on creative analogy models, gives him an unusual footing at the intersection of cognition and applied analytics. Off-hours he pursues serious musical study of Debussy, reflecting a disciplined, pattern-oriented mindset that informs his approach to complex engineering problems.
9 years of coding experience
20 years of employment as a software developer
BS, Physics, BS, Physics at University of Notre Dame
MA, Computer Science, MA, Computer Science at Boston University