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Welcome — what I'm writing about

Why I'm writing about AI engineering: notes on shipping RAG systems, LLM agents, and unglamorous full-stack work that decides whether it survives production.

This blog is where I'll write about the parts of AI engineering that don't fit into talks or tweets. Less hype, more production reality — what breaks, what scales, and what's worth your time.

One filter sorts both columns: will this still be true, and still useful, in a year?

What you'll find here

  • RAG and retrieval — chunking, hybrid search, evaluation harnesses, observability.
  • LLM agents — tool use, retries, failure modes, when not to use an agent.
  • Cost-aware engineering — caching, model routing, prompt compression, when fine-tuning earns its keep.
  • Full-stack glue — the unglamorous infra (queues, idempotency, schemas, auth) that production AI sits on.

What I won't be writing about

  • Pure prompt engineering tips that age out in a month.
  • Generic "10 best LLM tools" listicles.
  • Hype takes on AGI or the model release cycle.

If you want to follow along, the RSS feed is the most reliable channel. Otherwise, you can find me on LinkedIn and GitHub.

More posts coming soon.

Shanker Dhand
Shanker Dhand
AI Engineer & Technical Lead

I design and ship production AI systems — RAG pipelines, agents, and evaluation infrastructure — built on 10+ years of full-stack engineering.

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