Platforms delivered in enterprise context.

CAE — Data & AI platform

Accelerate products without sacrificing governance and control.

At CAE, product teams needed reliable data faster — without opening compliance risk. The existing platform didn't coherently cover catalog, quality, and consumption.

I led design and delivery of a data management and governance platform: proprietary catalog, metadata-driven acquisition and ingestion, automated profiling and quality controls, orchestrated on Kubernetes.

On the consumption side, a SOC2-aligned secure environment on Databricks let teams explore and use data without bypassing the guardrails. The platform became an accelerator, not a bottleneck.

In parallel, as Technical Product Owner, I owned the roadmap, prioritized capabilities, and raised data engineering practice with the teams.

MTY — Platform architecture

Make data actionable at group scale.

At MTY Food Group, the challenge wasn't just storing more data — it was making it actionable for the business across a multi-banner portfolio.

As Platform Architect, I architected the data and AI platform and related applications. The through-line: access, governance, and consumption aligned to business needs. See also quantumizeai.com for the continuation of that work on AI platforms. Available ≠ actionable.

The intended outcome: a clear architecture base to scale data and AI use cases without rebuilding for every initiative.