Ruhi Garga, AI & Technical Architect
13+ yearssoftware engineering

About Me

Engineering experience. Architectural thinking. An AI-first future.

I'm Ruhi Garga, an AI & Technical Architect with 13+ years of experience in software engineering. My background spans .NET engineering, APIs, enterprise systems, cloud architecture and system design, and I'm now applying that foundation to Generative AI, RAG and Agentic AI.

.NETAPIsEnterprise systemsCloud architectureSystem design→Generative AIRAGAgentic AI

My Story

How an engineering foundation became an architect's perspective.

13+ years of engineering experience — evolving from building enterprise applications to designing scalable systems and intelligent architectures.

I started my career in software engineering, building enterprise applications and developing a strong foundation in C#, .NET and APIs. Over the years, my focus evolved from implementing individual features to understanding how complete systems should be designed — from integrations and microservices to security, scalability and production reliability.

That evolution naturally led me into technical architecture and cloud engineering, where I began looking at systems from a broader perspective: how components interact, how applications scale, and how they are secured, deployed, monitored and maintained in production.

Today, I'm extending that engineering and architecture foundation into AI. I'm particularly interested in Generative AI, RAG and Agentic AI — not simply connecting applications to an LLM, but designing intelligent systems that are grounded, observable, governed and reliable enough for real enterprise environments.

Engineering Evolution

Four stages, each building on the one before.

01

Software Engineering

Building the engineering foundation

Building enterprise applications and developing strong foundations in .NET, C#, REST APIs and software engineering.

.NETC#REST APIs
02

Technical Architecture

From building features to designing systems

Expanding into system design, microservices, API architecture, integration, security and scalability.

System DesignMicroservicesAPI Architecture
03

Cloud Engineering

Designing for the cloud and production

Applying architecture principles to Azure, containers, CI/CD, reliability and production-ready cloud systems.

AzureDockerCI/CD
04
Current focus

AI & Agentic Systems

Building intelligent, governed systems

Extending my engineering foundation into Generative AI, RAG and Agentic AI, with a focus on grounded, observable and governed enterprise AI.

Generative AIRAGAI Agents

How I Think About Architecture

The principles behind the engineering decisions I make.

01

Build for Production

A system isn't finished when it works locally. Reliability, security, observability and operational behaviour should be part of the architecture from the beginning.

02

Design for Change

Good architecture should allow systems to evolve. Prefer clear boundaries, maintainable components and designs that can change without unnecessary large-scale rewrites.

03

Keep Engineering Practical

Architecture should solve real problems without unnecessary complexity. Choose patterns and technologies because they fit the problem — not simply because they are fashionable.

04
Connects to my Agentic AI work

Make Intelligence Governable

AI systems need more than intelligence. They need evidence, boundaries, observability, policy controls and appropriate human oversight when actions carry risk.

See the engineering behind the ideas.

Explore the systems, architectures and engineering work I'm building across AI, cloud and modern software engineering.