S Ravi Kumar

Hi, I'm S Ravi Kumar

Solutions Architect & Product Owner

I help enterprise .NET teams adopt agentic AI.

22+
Years of experience
18+
Speaking sessions
1.2 M+
Article reads
31+
Technical articles

About

A short introduction — the full story lives on the resume page.

I help enterprise .NET teams adopt agentic AI — the messy, real version: guardrails, verification gates, RAG over your own data, and the process changes that decide whether the tooling actually gets used. 22+ years as an architect across managed cloud services, healthcare, insurance, travel, and HR. Today I own architecture and AI-adoption strategy for a multi-cloud management platform — driving discovery, reference architectures, and executive solution reviews, and running LLM workloads on Azure AI Foundry and AWS Bedrock inside enterprise security constraints. What I've learned the hard way: AI adoption fails on enablement, not capability. Rolling out an AI-first development process taught me that the framework is the easy half — onboarding, champions, and verification discipline are the half that decides the outcome. That lesson now shapes everything I build. In public: ► AI-First Development Playbook — a seven-phase agentic SDLC for teams, with verification gates and a command library ► TechieRag — a .NET RAG library (NuGet) ► TechieFlow — the solo-architect edition of the same philosophy Founder, NCR Cloud & Core Techies (500+ member developer community). C# Corner MVP. Conference speaker on .NET, cloud architecture, and AI application development. If you're a CTO, engineering leader, or architect trying to make agentic AI real inside a .NET estate — that's the conversation I want to have.
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Latest from the blog

AI Put Me on a Pedestal. Then I Looked Down

I spent a year building software with AI, then built a tool to measure whether it was working. The first number it gave me was humbling. In eleven days it logged 268 misses, meaning things the AI got wrong or left out. My automated checks caught 46 of them. Agent reviews caught 82. I caught 122. By opening the app and clicking around, like it was 2010. The most common reason something slipped through, 119 times, was not that nobody checked. It was that somebody checked the wrong thing. And the worst number is the one I do not have. I only

By S Ravi Kumar Sep 07, 2026 14 min read

Latest Articles

Fresh from the editor — browse all articles. Earlier writing lives in the Blog-Archive.

General

AI Put Me on a Pedestal. Then I Looked Down

I spent a year building software with AI, then built a tool to measure whether it was working. The first number it gave me was humbling. In eleven days it logged 268 misses, meaning things the AI got wrong or left out. My automated checks caught 46 of them. Agent reviews caught 82. I caught 122. By opening the app and clicking around, like it was 2010. The most common reason something slipped through, 119 times, was not that nobody checked. It was that somebody checked the wrong thing. And the worst number is the one I do not have. I only

S Ravi Kumar Sep 07, 202614 min read
General

Restarting Blogging 3rd Time , What's New This Time

Every framework decays — that's the premise, not the problem. The problem is that a how-to has exactly the shelf life of the version it was written against, and I wrote almost nothing else. Three in five of mine were for a framework that's been discontinued; the most-read one is for a framework that's still thriving, and it's stale anyway. This blog writes at the layer that outlives the tooling: what I built, what broke, what it cost — including where I was wrong.

S Ravi Kumar Aug 23, 20266 min read

Contact

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Location
Greater Noida, India
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