Platforms delivered in enterprise context.

CAE — Data & AI platform

Accelerate product build without sacrificing governance and control.

At CAE, product teams needed reliable data faster — without opening the door to compliance risk. The existing stack didn’t cover catalog, quality, and consumption coherently.

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, I prioritized platform capabilities with engineering teams — to embed DataOps and delivery practice, not just the design.

MTY — Platform + apps

Make data actionable through app surfaces.

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, APIs, and consumption aligned to business needs. See also quantumizeai.com for the continuation of the work on AI platforms. Available ≠ actionable.

Expected outcome: a clear architecture foundation to scale data and AI use cases without rebuilding for every initiative.