San Francisco Bay Area
I work on AI safety systems for real-world execution, focusing on the gap beyond AI observability. How do we move from AI observability to verifiable AI enforcement? Observability tools help teams trace, monitor, and evaluate agent behavior, but they do not fully solve the harder problem: verifiable enforcement before execution. My work centers on financial infrastructure, where stablecoins and programmable money provide mature examples of software-controlled trust, permissions, and action. My research focuses on how non-deterministic AI outputs can be translated into deterministic, enforceable execution constraints. For agents to be useful, they must be able to operate across hostile, unknown, or changing environments.
Blockchain Infrastructure Platform | Unified Execution Enviroment for On-Chain Finance
Building local data intelligence
Blockchain ID Privacy Solution | AI Marketech (Government Incubated. Founded by a former F500 CEO) Led team to build a consumer privacy ID and worked with enterprises to explore the application of ID towards real-world assets (RWA), including land, through the platform.
Blockchain ID | AI | Financial Instiutuions | AML/KYC Onboarding Led product development with former regulators and a F500 Chief Compliance Officer. Directed cyber risk policy drafting for Web3 law partners, ensuring integration into regulated product flows and strengthening licensing optics.
2019 Leader in the Forrester Wave: Global Cybersecurity Consulting Providers in the Asia-Pacific Region. Completed Projects Focuses: Cloud Computing, Blockchain, Data Governance, Privacy & Cybersecurity