I ship privacy-first software and measurable AI systems.

Privacy-first is a product feature. It is also an engineering discipline.

What I mean by "privacy-first"

  • Minimize what you collect.
  • Separate sensitive data where possible.
  • Make access boundaries explicit.
  • Make deletion and retention real (not a promise).
  • Prefer measurable controls (logs, permissions, audits).

What I can do for you

Privacy-first architecture review (technical)

  • Data map and data classification (what is stored, where, why).
  • Threat-model style review of key flows (auth, storage, exports).
  • Concrete engineering changes, prioritized by risk.

What you get: Data map, threat-model-style review, prioritized fix list.

Privacy-first build add-on (during development)

  • Secure auth flows.
  • Role boundaries.
  • Audit logging basics.
  • Retention/deletion implementation.

What you get: Retention/deletion implementation checklist, audit logging basics, access boundary design.

Vendor / subprocessor sanity check (technical)

  • What data leaves your system.
  • What must be encrypted.
  • What must be logged.

I'm not your lawyer. I build the technical controls and evidence artifacts teams need to support compliance work with counsel.