Hi, I'm Prasanth

I'm an engineering leader working at the intersection of Azure, AI, and distributed systems. I spend most of my time designing data platforms on Microsoft Fabric, building production RAG pipelines, and writing about what I learn along the way.

What I work on

My day-to-day involves architecting large-scale data solutions — think 10M+ embedding pipelines, real-time analytics with Eventhouse KQL, and AI-native applications built on Azure AI Search and Fabric Data Agent. I care deeply about the operational side: observability, cost efficiency, and the kind of architectural decisions that don't come back to bite you at 2am.

This blog

I write here to think in public. The articles skew technical — architecture deep-dives, patterns I've found useful, and occasionally the things that didn't work and why. If you build on Azure, work with AI systems, or are just interested in distributed systems at scale, you'll probably find something useful here.

The articles page has everything, or you can browse by topic. There's also an RSS feedif that's your thing.

Areas of focus

• Microsoft Fabric & Azure Data — Lakehouse architecture, Delta Lake, Eventhouse, data pipelines at scale
• AI & RAG systems — Azure AI Search, embedding pipelines, retrieval patterns, evaluation frameworks
• Distributed systems — event-driven architecture, stream processing, observability
• Engineering leadership — technical strategy, platform thinking, developer experience

Get in touch

The best way to reach me is on GitHub or LinkedIn. If you spot an error in something I've written, open an issue or leave a comment — I'd rather be corrected than confidently wrong.