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SB

Forward-deployed AI engineer. Shipping software since 2018.

I teach developers and engineering teams to build production AI systems.

Harnesses, agents, evals and guardrails, shipped properly. And the AI-native way of working that lets a small team ship like a big one.

The gap

Anyone can call an LLM API. Shipping AI that works on Monday morning is a different job.

01

It works on the demo. It breaks on real users.

Without evals you are guessing. I teach how to measure agent quality, catch regressions and ship changes with confidence.

02

The bill and the latency arrive later.

Token costs, caching, model routing and timeouts. The engineering that decides whether an AI feature is affordable at scale.

03

Agents with tools need guardrails.

Permissions, prompt-injection defences, human-in-the-loop and audit trails, so an agent can act without becoming a liability.

What I write and teach about

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Hi, I'm Shobhan.

I've been shipping software since 2018: full-stack apps, serverless systems on AWS, identity and security platforms. Today I work as a forward-deployed AI engineer, building agentic systems that have to survive real users. I also teach: courses, a weekly newsletter, and short lessons for thousands of developers on Instagram.

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