About
I build systems for understanding hidden state changes in complex environments. My work began in financial markets, where I developed signal-based frameworks for identifying latent risk, structural pressure, and phase transitions before they become obvious in price behavior. This work led to Flux Finance and related research systems across crypto, commodities, and equity indices, with a focus on interpretable signal architectures rather than black-box prediction. More recently, I have been extending the same systems-thinking approach to AI-mediated organizations: how meaningful decisions, discoveries, risks, and changes produced inside independent AI workspaces can become shared organizational context without centralizing the underlying conversations.
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