Portfolio

Work that compounds

Active programs and products grouped by discipline. Each cluster reflects a different constraint: automation and agent-style systems, infrastructure and data surfaces, or structured R&D. Delivery depth sits in Thunderlab—engineering and applied ML work that keeps implementations reviewable and integration-aware.

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AI & automation

Workflow automation, agent-style systems, and AI-assisted products—structured for accountability, reviewability, and integration with how your teams actually work.

Digital infrastructure

Data platforms, industrial and operational contexts, and durable web properties engineered for sustained traffic and operational load.

Applied R&D

Internal frameworks and experiments that de-risk models, safety patterns, and UX before wider or more formal rollouts.

Consumer Health R&D

Consumer-facing AI applications (Mom AI Agent, SolidStart) serving as live testing grounds for safe, evidence-based LLM outputs.
R&D
Health AIEvidence EngineSafety Alignment