DS
Deepak Suhag
🧠AI Product Engineer

An AI Product Engineer who owns the feature, not just the model.

Product thinking plus engineering execution — I scope, build and ship AI features that solve a real user problem, not just a technical demo.

Free Consultation

Get Started with AI Product Engineer

Free 30-min strategy call. I'll review your project and respond within 24 hours.

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50+ founders consulted last month

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🔒 No spam ever⚡ 24h response🤝 NDA on request

The hard part of AI products isn’t the model call — it’s deciding what to build, designing the UX around uncertainty, and shipping something reliable enough that users trust it. That’s the job I do end to end.

Why this works

What you get

Every engagement is built around measurable outcomes — not just deliverables.

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Product-first scoping

Start from the user problem, not the model — so the AI feature actually gets used.

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Full-stack AI delivery

Prompt design, backend integration, and frontend UX — one owner across the whole feature.

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Built-in evaluation

Quality metrics and user feedback loops baked in from day one, not bolted on after launch.

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Ship fast, iterate faster

Working prototypes in days, production-hardened versions in weeks — not quarters.

Product first, model second

Most AI features fail because they started from the model instead of the user problem. I scope from the user’s actual need, decide where AI genuinely helps, and build the full feature — prompt design, backend, frontend UX and monitoring — as one connected piece of work.

What’s included

  • Product scoping and UX design for AI features
  • Full-stack delivery — prompt design through to frontend
  • Evaluation metrics and user feedback loops from day one
  • Fast prototypes, production-hardened launches
How it works

From kickoff to results

A clear, transparent process — no surprises.

01🔍

Problem discovery

Identify where AI genuinely improves the user experience — and where it doesn’t.

02🧪

Prototype & test

Build a working version fast and get it in front of real users before over-investing.

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Production build

Harden the prototype — error handling, guardrails, cost controls, monitoring.

04📈

Ship & iterate

Launch, watch usage data, and keep refining the product based on real behaviour.

FAQ

Common questions

Can't find what you're looking for? Ask directly →

01Do you build the whole product or just the AI feature?

Either — I can own a single AI feature inside your existing product, or build the full product end to end.

02What’s your tech stack?

Next.js/React on the frontend, Node or Python on the backend, and OpenAI/Anthropic APIs or open-source models depending on the task.

03How do you decide if AI is the right solution?

I start by scoping the user problem without assuming AI is the answer — sometimes a simple rule beats a model.

04Can you join an existing engineering team?

Yes — I regularly plug in as the AI specialist inside an existing team, not just as an outside vendor.

🧠 AI Product Engineer

Ready to get started?

Book a free 30-minute strategy call. No pitch, no pressure — just honest advice on where to focus.

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