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@dimitarilievxo

Dimitar Iliev

@dimitarilievxo·North Macedonia·Joined October 2025

Building AI in the cloud. Lifting iron at the gym. Living for the after hours.

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Expert insights on Azure AI architecture and implementation. Real-world solutions for building intelligent enterprise systems.

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Dimitar Iliev's blogs

Dimitar on AIdimitaronai.com29 posts

About

Expert insights on Azure AI architecture and implementation. Real-world solutions for building intelligent enterprise systems.

Available for

Nothing here yet.

Dimitar Iliev's blogs

Dimitar on AIdimitaronai.com29 posts

Articles Comments

Recently published

DIDimitar Ilievindimitaronai.com·Jul 19 · 3 min read

Classify and route your data using Content Understanding

Classification and splitting The analyzer concept has been expanded to include contentCategories and enableSegment, which let you classify and split the input data processed by your application. This

DIDimitar Ilievindimitaronai.com·Jul 8 · 2 min read

The Ultimate AI Guide for Linux Engineers - Book Review

If you're a Linux engineer trying to figure out where AI actually fits into your day-to-day work - not the hype, the actual workflow - this book delivers a solid, practical roadmap. It opens by ground

DIDimitar Ilievindimitaronai.com·May 25 · 2 min read

Building Agent-Powered Applications - Book Review

Building Agent-Powered Applications is the kind of book you wish existed when you first started trying to make sense of the LLM ecosystem. It opens with a grounded overview of ML and NLP fundamentals

DIDimitar Ilievindimitaronai.com·May 6 · 3 min read

The Secret Behind Better RAG Results: Hybrid Search in Azure AI Search

What is hybrid search? Hybrid search combines full-text and vector queries into a single request, running against an index that holds both plain-text content and generated embeddings. Vector search ex

DIDimitar Ilievindimitaronai.com·Mar 27 · 5 min read

Book Review: Design Multi-Agent AI Systems Using MCP and A2A

There's no shortage of AI content right now, but most of it sits at one of two extremes: breezy conceptual overviews that leave you with nothing to build, or narrow tutorials that solve one specific p