Consulting · Manhooei Solutions Lab

Advice from someone who still ships.

You get a principal engineer who has worked inside large engineering organizations and still builds and runs real products. You talk to me directly, from the first call to the last. I take on a few projects at a time.

Where I've built systems
  • Google
  • Microsoft
  • Hewlett Packard
  • Chewy
  • Abercrombie & Fitch
  • Target
What I help with

Four kinds of engagement.

Architecture review

For a team that knows something in its system is wrong but can't agree on what.

I read the system, talk to the people who run it, and write up what to change first.

Written plan your team can run

AI and agent adoption

For leaders asked to add AI who want a straight answer on where it pays off.

We pick the use cases worth doing and design how agents connect to your systems safely.

Reference design and rollout plan

Privacy-first product builds

For a company that wants an app people trust with personal data.

I help design and build it so the data stays on the device, the way the lab's own apps work.

Working build at the end

Data and privacy governance

For a team that needs a clear map of its data before a regulator or a customer asks.

We find what you hold, why you hold it and who can reach it, then make the rules stick.

Data map and policy you can use
How it runs

From first call to a plan.

  1. STEP 1Intro call

    Thirty minutes, free. You tell me what's stuck, and I tell you plainly whether I'm the right person.

  2. STEP 2Scope on one page

    What I'll look at, what you'll get, the dates and a fixed price.

  3. STEP 3The work

    Sessions with your team, time in the real system, and short written updates along the way.

  4. STEP 4The handoff

    A plan your team can run on its own, and a follow-up call a month later.

Every engagement has a fixed price, agreed after the intro call, so there's no meter running.

Why me

You work with me directly.

I've designed systems at Google, Microsoft, Hewlett Packard, Chewy, Abercrombie & Fitch and Target, and I build my own apps end to end. You get advice that has been tested at scale and in production, from someone who still writes the code.

Areas of depth
  • Enterprise architecture
  • Distributed systems
  • Privacy and data governance
  • AI and machine learning
  • AI agents
  • Local-first apps
  • Platform modernization
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