Energy, AI, and Bitcoin: Three Threads
Building energy analytics, AI tooling, and Bitcoin's energy narrative. Why I think they're converging.
1 min read
I help commercial buildings and electric utilities cut energy waste.
At kW Engineering, I lead the development of data analytics and AI platforms that make invisible energy waste visible. They're deployed at Cornell, Logan Light & Power, and Marriott.
- Now
- Senior Data Analyst, kW Engineering
- Ph.D.
- Civil Engineering (Building Systems), University of Cincinnati
- Award
- ASHRAE Homer Addams Award, 2024
Selected work
All work →-
GridGauge
2026 – PresentLoad forecasts and anomaly alerts for roughly 4,000 commercial and industrial meters at Logan Light & Power.
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EnergyAgent
2024 – PresentPortfolio monitoring inside SkySpark. Forecasts and flags anomalies across 400+ meters at Cornell.
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A standard way to name and categorize about 3,500 energy efficiency measures, put to use by LBNL and NLR (then NREL) for two DOE data standards.
Writing
All writing →When I'm not working on buildings and grids, I'm researching energy markets, AI agents, and Bitcoin, and looking for problems worth solving where the three meet.