Summary
Steve Hay is a multidisciplinary engineer and independent consultant with 23 years of experience spanning energy systems, nuclear power, and data science. He founded Fluence’s Digital Intelligence group, led integration of first-in-industry 10+ MW grid-scale battery projects, and managed onboarding of a data collection system streaming and storing over 50 million metrics per second; earlier he led the StuxNet response for the naval nuclear program and helped define cyber standards for embedded nuclear I&C. He holds degrees in computer science, electrical and mechanical engineering plus an MBA, and is a Google Machine Learning Ninja who pairs rigorous engineering practices with applied ML to deliver production-ready, safety-focused solutions. Now pursuing a PhD to study AI’s societal impact, he focuses on explainable and traceable AI for safety-critical deployment while also using neural models to create digital art that probes perceptual diversity—an uncommon mix of risk-aware engineering and creative inquiry.
23 years of coding experience
20 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, Bachelor of Science (B.S.), Electrical Engineering at Rensselaer Polytechnic Institute
Executive Master of Business Administration (M.B.A.), Executive Master of Business Administration (M.B.A.) at Naval Postgraduate School