Hi, I'm S Ravi Kumar

Solutions Architect & Product Owner

I help enterprise .NET teams adopt agentic AI.

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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.

Featured Latest from the blog

Nothing Improves a Framework Like Building on It

Five apps filed 133 bugs against my own framework and libraries in five weeks, and thirty releases followed. What a test suite cannot find, an app built on top of it will. Thirty-one releases of my framework and libraries since October, and I planned none of them.

By S Ravi Kumar Nov 09, 2026 12 min read

Latest Articles

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

Nothing Improves a Framework Like Building on It

S Ravi Kumar Nov 09, 202612 min read

TfLens: My AI Observability Dashboard

I build software with AI coding agents, and every run costs tokens or dollars. TfLens is the dashboard I built to see where that money goes: per project, per phase, per model, per tool. It reads the five metrics files TechieFlow writes into every repository and turns them into nine pages: coverage, gate outcomes, harness comparison, routing and economics, misses and rework, phase effort, price providers, snapshot export. Free, live at tflens.techierathore.com, with every number next to the file it came from.

S Ravi Kumar Oct 29, 20268 min read

General

The Simulator Said 301. The Phone Said 155

Last month I counted 119 mistakes that got through because somebody checked the wrong thing. This is one more, caught in time. AI agents built the part of my library that runs a language model on the device itself, and they tested it on an iPhone simulator: 301 tokens a second. The real phone gave 155. The pretend Android phone was wrong in the other direction. Four real devices, one table of measured numbers, and what it taught me about the word "tested".

S Ravi Kumar Oct 06, 20265 min read

Contact

LinkedIn is the best way to reach me — I read every message.

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Location

Greater Noida, India

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