AI Advisory From an Ex-Amazon Engineer

Fractional AI advisor for better AI decisions.

I'm Saurav. I spent 6 years at Amazon advising enterprises with $100M+ cloud environments, then building GenAI platforms as an engineer. Keep me on call monthly, book a single session, or get a fixed-scope review.

Find what's worth building Validate vendors & architecture Control cloud & AI costs
Book a free 30-minute call → See services & pricing ↓

In 30 minutes we'll look at what you're doing with AI and find the first thing I'd fix or fund. No pressure.

6 years at Amazon
$100M+ enterprise cloud accounts advised
33,000+ students taught
22% off an AWS bill in one conversation
Services & Pricing

Three ways to work with me. Fixed prices, no proposals.

1-on-1 Call

$150 · 55 minutes

Bring your idea, your setup, or your bill. We work through it live. The fastest way to get an expert pair of eyes.

Book a call →

Fixed-Scope Services

From $300 · scoped & priced up front

A second opinion before you commit. A cost audit of what's already running. Or hands-on AI training for your team, built from your stack. Fixed scope, and you know the price before any work begins.

Not sure where to start? Book the free 30-minute call. We'll figure out which of these fits, if any.

Who I Am

Cloud cost discipline, applied to AI.

Saurav Sharma. I'm a fractional AI advisor with deep roots in cloud cost discipline. My background sits across both sides of this work: 6 years at Amazon, first working with large enterprise customers as a Senior Technical Account Manager on cloud architecture, cost, reliability, and scaling, then building LLM and GenAI platforms as an engineer.

The AI side isn't theory for me. I built GenAI platforms inside Amazon, and I run my own production LLM pipelines across OpenAI, Anthropic, and Google today. The pricing fine print I review is fine print I pay for myself.

I also teach this space. I hold 12 AWS certifications, have taught 33,000+ students, and run the CloudYeti YouTube channel.

Build vs buy Vendor selection Model selection Commitment math Caching & batching RAG & agent workloads Pricing fine print
Who This Is For

The people responsible for making AI pay off.

Founders, CTOs, product and platform leads, FinOps leads, and agency owners putting AI into client work. Anyone with a real AI decision on their desk and real money behind it.

Book a free 30-minute call →

No pressure. Just a short conversation to see what would be most useful.