Summary
John Buonagurio is a hardware and embedded systems engineer with over 15 years of cross-disciplinary experience in engineering and data science, currently consulting on high-impact projects from infrastructure to healthcare and climate adaptation. He blends software development, electrical engineering, and machine learning to deliver robust solutions—examples include optimized C++ production models that sped performance by 100–1000x and Bluetooth-to-LTE sensor gateways built on Nordic nRF microcontrollers with AWS backends. As a former manager of data sciences at Exponent, he led multimillion-dollar user studies, reverse-engineered radar interferometry for forensic analysis, and developed extreme-value hazard models for utility climate planning. Based in Philadelphia, he pairs hands-on prototyping and embedded design with statistical modeling and geotechnical analysis, and is particularly skilled at turning research code into production-grade, validated systems.
11 years of coding experience
14 years of employment as a software developer
BS, Industrial Engineering, Petroleum Engineering, BS, Industrial Engineering, Petroleum Engineering at University of Pittsburgh