Summary
Steve Hay is a multidisciplinary engineer and independent consultant with 24 years of experience applying software, controls, and machine learning to energy systems, nuclear power, and safety-critical infrastructure. He founded and led Fluence’s Digital Intelligence group, deploying ML-driven tools for grid-scale storage and overseeing systems integration for first-of-industry 10+ MW projects worldwide. His background blends computer science, electrical and mechanical engineering, and an executive MBA, enabling him to translate complex technical requirements into product-ready, auditable solutions and risk-aware deployment strategies. He has a track record in high-stakes operational response (including leading the StuxNet response for the nuclear Navy) and in embedding explainability and traceability into AI for safety-critical use. Currently pursuing a PhD-level inquiry into AI’s societal impacts, he also explores neural models for digital art to probe perceptual diversity and subjective experience.
23 years of coding experience
20 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Rensselaer Polytechnic Institute
Executive Master of Business Administration (M.B.A.), Executive Master of Business Administration (M.B.A.) at Naval Postgraduate School