Data science, product analytics, growth insights and decision intelligence for product-led teams.

A technical argument that abstention - explicitly refusing to answer when evidence is insufficient - is the most important property of trustworthy AI memory, why the field's incentives trained systems to guess instead, and what good abstention engineering looks like.

A manifesto for AI memory portability: why single-vendor open formats fall short, what a neutral interchange standard requires, the GDPR and EU AI Act case, and the one question enterprise buyers should ask every memory vendor.

An honest technical explanation of why current AI agents have no persistent memory, what that costs in production, and what better agent memory architectures would actually need to solve.

A project using APIs, spreadsheet transformation, and Tableau to turn personal trip data into an ongoing dashboard.

A continuation of the underwater monitoring research, focused on distributed sensing, mobile underwater vehicles, and protocol choices suited to constrained environments.

A research-oriented project about underwater sensing, acoustic communication constraints, and a protocol stack tailored to river monitoring.