CFIA AI LabProject file 01 of 10
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01CFIA AI Lab

Product · identity · ML infrastructure

Role
Software Intern
24 merged PRsOpen authored PR history

Public engineering work · 2026

One boundary at a time.
Every claim reviewable.

I worked across product UX, identity, ML storage, and signed Kubernetes delivery—in small public review slices.

  1. Use
  2. Store
  3. Curate
  4. Ship
  5. Decouple
  6. Verify
Merged evidence
Public review trailDecouple

Every claim remains attached to a public pull request and its review history.

4 selected public proof linksView authored PRs
Swipe through the evidence05 / 06
  1. Small workflow fixes made image review and export less brittle.

    Public product context
  2. MLflow metadata and artifacts reached the right self-hosted stores without committed credentials.

    Runtime validated
  3. A vision-data workbench needed three storage modes and one tightly bounded privileged sidecar.

    Storage boundary verified
  4. Signed builds, image references, GitOps, and admission policy had to agree before Kubernetes would run the image.

    Supply-chain recovery
  5. React call sites no longer needed to know whether Entra or OIDC supplied the token.

    Review-led architecture
  6. Provider-neutral authentication only works if tokens and signing-key rotation fail safely.

    Fail-closed verification
System viewOne frontend boundary hides provider-specific identityprovider-neutral frontend boundary
Product workflowsShared request + identity contractReplaceable providers
inputReact call sitesbusiness workflows
controlProtected requestcurrent token + retry
systemShared authprovider contract
proofMSAL adapterEntra preserved
proofOIDC adapterself-hosted path