Systems Engineering and Data Architecture

Every organization thinks
their data works.
Until it needs to.

Most systems are designed to perform under favorable conditions. They hold in controlled environments, degrade quietly under operational pressure, and fail visibly when the stakes are highest.

I design the infrastructure that holds under those conditions: formal specifications for complex multi-organization systems, data platforms built for restricted and regulated environments, and analytical pipelines that produce auditable output when they are needed most.

Built for

NATOOECDTreasury Board of CanadaISED CanadaCanadian Intellectual Property Office

The reporting cycle takes three months. The model runs on a spreadsheet nobody fully understands. The dashboard shows what happened last quarter.

By the time a critical decision reaches the executive level, the data behind it is months stale, multiple transformations removed from the source, and trusted by convention rather than verification. The analysis team spends most of its time cleaning data, not interpreting it.

This is not a technology problem. It is an architecture problem. And it compounds silently, until the moment the stakes are highest.

  • Interoperability specificationsFormal technical standards that define exactly how complex systems must behave and integrate across organizational boundaries: from requirements definition through code implementation and live validation against the published specification.
  • Data platformsEnd-to-end systems from bare-metal infrastructure to front-end interface, engineered for restricted and highly regulated environments.
  • Analytical pipelinesAutomated, version-controlled workflows that eliminate manual data preparation and produce reproducible, auditable output.
  • AI integrationCustom agent pipelines and MCP servers that allow plain-language querying of secure, structured datasets.
  • Institutional defenseEvery system here serves people operating under real constraints. I can account for every design decision in any room: to the team that built it, the executive who funds it, the minister who signs off on it.

If the pattern above is familiar, a direct conversation is the right next step.

Get in touch

Massachusetts Institute of Technology

MicroMasters in Statistics and Data Science

Carleton University

Master of Applied Business Analytics

Queen's University

Bachelor of Science, Mining Engineering