CAE: data & AI platform
SOC2
secure consumption and compliance
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 SOC 2-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, so that DataOps and delivery practice got embedded, not just the design.
MTY: platform + apps
Data+AI
multi-banner platform scope
Make data actionable through app surfaces.
At MTY Food Group, the challenge wasn’t just storing more data. It was making that data actionable for the business across a multi-banner portfolio.
As Platform Architect, I architected the data and AI platform and related applications. Access, governance, APIs, and consumption all had to line up with what the business needed. See also quantumizeai.com for the continuation of the work on AI platforms. Available ≠ actionable.
The intended outcome was a clear architecture foundation for scaling data and AI use cases without rebuilding for every initiative.
The CAE and MTY work was delivered in prior operating roles, before Quantumize AI.
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