Build AI features that actually ship —reliably, measurably, and fast.

I help product teams design and deliver production-ready RAG systems, AI agents, and scalable architectures — with hands-on engineering and senior technical leadership.

  • RAG + search you can measure (evals, relevance, citations)
  • Agents and automation with guardrails (tools, permissions, retries)
  • Architecture that scales (performance, reliability, cost)
Common situations

If any of these sound familiar, I can help

These are the failure modes I see most often when teams try to ship AI and scale a product at the same time.

AI features are stuck in demo mode

The prototype works, but production is brittle: hallucinations, low relevance, missing evals, unclear observability.

Scope creep and unclear deliverables

You need a plan that turns ‘build AI’ into specific milestones, interfaces, and acceptance criteria.

Architecture won’t scale

Performance, reliability, and cost explode when usage grows — especially with LLM-heavy workflows.

Team needs senior technical leadership

You want a calm, hands-on lead who can unblock decisions, review work, and ship with quality.

Offer

Services and deliverables

Clear outputs, not vague promises. These are typical deliverables — final scope depends on your context.

RAG + Search that’s measurable

Teams building assistants, knowledge search, or document Q&A — and need reliability.

Outcomes
  • Higher relevance and fewer hallucinations
  • Faster iteration with evaluation and observability
  • Predictable latency and cost at scale
Typical inclusions
  • Retrieval strategy (hybrid, reranking) and evaluation plan
  • Grounded answers with citations and safety checks
  • Latency + cost budgeting and observability

Agents & workflow automation

Teams automating multi-step work (support ops, internal tools, back office workflows).

Outcomes
  • Reliable, controllable automation (not just demos)
  • Lower operational risk via guardrails and permissions
  • Clear boundaries for tools, data, and actions
Typical inclusions
  • Tooling design: permissions, sandboxes, rate limits
  • Reliable multi-step flows with retries + guardrails
  • Human-in-the-loop review where it matters

Architecture & implementation

Teams that need a senior engineer to design and ship, not just advise.

Outcomes
  • Cleaner system boundaries and fewer rewrites
  • Better performance and reliability in production
  • A build that your team can own and extend
Typical inclusions
  • System design, data model, and API boundaries
  • Hands-on build in Next.js / Laravel / TypeScript
  • Performance and reliability hardening

Tech leadership

Founders and teams that want calm, senior leadership to ship quality work consistently.

Outcomes
  • Faster decisions and fewer technical dead-ends
  • Higher code quality through reviews and mentoring
  • Pragmatic roadmap shaping with clear tradeoffs
Typical inclusions
  • PR reviews and mentoring
  • Hiring / onboarding support
  • Roadmap shaping with pragmatic tradeoffs
How it works

A simple, low-friction process

Fast clarity first, then disciplined execution.

1

Short discovery

We clarify the goal, constraints, and what success looks like (metrics + UX).

2

Scope + plan

You get a concrete proposal: deliverables, milestones, risks, and a crisp first iteration.

3

Build + iterate

We ship an MVP fast, then harden it: evals, monitoring, guardrails, and performance.

4

Handover

Documentation, runbooks, and team enablement so you can operate and extend confidently.

Proof

Signals you’re in the right place

A few quick indicators of how I work and what I prioritize.

20+ years
shipping production software
MENA focus
products and teams in the region
Pragmatic AI
RAG, agents, and automation that’s deployable
Contact

Choose the fastest channel

Email is best for project details. Social is great for quick questions.

To get a useful reply faster, include:
  • Your product / company and what you’re trying to achieve
  • What’s already built (stack, data sources, current approach)
  • Timeline, constraints, and what ‘success’ means
  • If relevant: sample docs / screenshots / links
FAQ

Quick answers

If you have a different question, just email — I’m happy to clarify.

What kinds of projects are a good fit?+

AI features that need to ship reliably (RAG search, assistants, workflow automation), and teams that want a clear scope plus senior technical leadership.

Can you help even if we’re early-stage?+

Yes. I can help define the MVP scope, pick the right stack, and ship an initial version fast—without painting you into a corner.

Do you offer implementation or only consulting?+

Both. Engagements can be advisory (architecture, reviews) or hands-on delivery with clear milestones and deliverables.

How do we start?+

Send a short message with your goal, timeline, and constraints. I’ll reply with next steps and a suggested plan.

Ready to talk?

Send a short message and I’ll reply with a suggested next step.

Prefer to browse first? See services and guides.