AI Product Engineer · Booking now — replies within 24h

Your AI demo is impressive. Now make it survive real users.

Anyone can build an AI demo in a weekend. Making it reliable, affordable, and safe for thousands of real customers is the hard part — and that's the work I do. Pick a service below, or book a free call.

14+years shipping
1M+daily users served
Fortune 500products delivered
Demo → ProdAI features that ship
Bengaluru · AI in production, at scale
Product work delivered for
Extreme NetworksVolvoAllianzHome Depot

Pick the job you need done. Clear scope, clear price.

LLM Apps

I will build a custom RAG chatbot over your own docs

2 projects delivered
From ₹75,000 / projectMore details
AI Agents

I will build an AI agent or workflow automation for your team

2 projects delivered
From ₹90,000 / projectMore details

Want to work on an hourly basis?

Tell me what you need and we'll scope it together.

₹5,000 / hourAsk about hourly

Low-risk start — every engagement begins with a free 30-minute call. If the AI Readiness Audit doesn't surface at least three concrete wins, you don't pay for it.

A clear path, no surprises.

01

Free 30-min call

We talk through where you're stuck. No pitch, no obligation — you'll leave with at least one useful idea.

02

Fixed-scope audit

I assess your AI feature for reliability, cost, and risk, then hand you a prioritized plan you fully own — yours to keep, with or without me.

03

We ship it to production

If it's a fit, I harden it hands-on with your team — evals, guardrails, cost controls — with progress you can see weekly.

04

You measure the result

We agree up front what 'production-ready' means — accuracy, latency, cost per request — and track against it. Outcomes, not activity.

What I bring to your AI in production.

LLM & RAG features
AI agents & workflows
Evals & quality gates
Guardrails & safety
Prompt & context design
Token cost optimization
Latency & caching
Hallucination control
Vector search & retrieval
Model & vendor selection
AI observability
Data & privacy controls
Scalable architecture
CI/CD for AI features
Load & resilience testing
Team enablement

Real outcomes, measured and shipped.

50%+
LLM spend cut

Semantic caching, prompt trimming, and per-feature spend tracking — cut a fast-climbing OpenAI bill by more than half with no drop in answer quality.

SaaS · Cost optimization
<1s
Response time at 1M daily users

Hardened a RAG search demo for a million daily shoppers — vector caching, async retrieval, and a cheaper fallback model held sub-second responses at peak traffic.

Retail · E-commerce
0
Wrong answers reaching customers

Added input/output guardrails, topic boundaries, and a human-review path for edge cases. Compliance team signed off; risky responses caught before users saw them.

Fintech · Healthcare
Ratnesh ShuklaRS

I've spent 14+ years shipping software that holds up under real load — at Extreme Networks, and on products for Volvo, Allianz, and Home Depot used by millions of people a day. What I learned: writing the code was never the hard part. Making it reliable, affordable, and safe enough to ship was.

That's the same gap most AI projects hit now — a good demo that isn't ready for real customers. That's the work I take on. I won't sell you hype or a rewrite you don't need, and if AI isn't the right tool for your problem, I'll say so.

— Ratnesh Shukla

Questions you're probably asking.

We already use ChatGPT and Copilot. Why do we need you?

Using AI tools and shipping a reliable AI feature to your customers are very different things. The second one needs evals, guardrails, cost control, and someone accountable when it's live. That's the part I own.

How is this different from hiring an ML engineer?

I'm not here to train models from scratch. I take AI features the last mile — from working prototype to dependable, affordable, monitored production — and bring 14 years of shipping at scale to the judgment calls.

We just need a quick prototype. Is this overkill?

Then you may not need me yet — build the demo, have fun. Call me when it has to work for real customers without surprising costs or wrong answers. That's the expensive, risky part.

Is our data and IP safe?

Yes. I work under your NDA, use your own keys and infrastructure, and design for data privacy from day one. Nothing leaves your control without your say-so.

Which models and tools do you work with?

Vendor-agnostic — OpenAI, Anthropic, and open models, with RAG, agents, and vector search as the problem requires. I pick what fits your cost, accuracy, and privacy needs, not what's trendy.

How do we start, and what does it cost?

A free 30-minute call to see if it's a fit. Most teams begin with the ₹35,000 AI Readiness Audit — fixed scope, one to two weeks, and a plan you keep whether or not we continue.

Tell me about your AI feature and where it's stuck.