I'm an AI Engineer and Software Architect focused on transforming cutting-edge AI into reliable, scalable, and maintainable products. My work spans Agentic AI, Retrieval-Augmented Generation (RAG), cloud-native architectures, and developer platforms that solve real engineering problems—not just proof-of-concepts.
I enjoy building systems where software engineering meets artificial intelligence, applying proven architectural principles to create AI solutions that are secure, observable, and production-ready.
- 🤖 Agentic AI
- 📚 Enterprise RAG Systems
- ☁️ Microsoft Azure
- ⚙️ .NET 8 & ASP.NET Core
- 🧠 Large Language Models
- 🔍 AI Search & Knowledge Systems
- 🏗️ Distributed Systems
- 🚀 AI for Developer Productivity
Languages
- C#
- Python
- SQL
- TypeScript
- JavaScript
AI
- Azure OpenAI
- OpenAI API
- Semantic Kernel
- LangChain
- AI Agents
- RAG
- Vector Search
- Prompt Engineering
Cloud
- Microsoft Azure
- Azure AI Foundry
- Azure AI Search
- Azure Functions
- Azure Cosmos DB
- Azure SQL
- Azure Service Bus
- Azure Key Vault
- Azure DevOps
- Docker
- Kubernetes (AKS)
Backend
- .NET 8
- ASP.NET Core
- Entity Framework Core
- REST APIs
- Microservices
I publish deep dives on designing AI systems that are built for production—not prototypes.
Topics include:
- Agentic AI
- Enterprise RAG
- AI Architecture
- System Design
- Distributed Systems
- AI Reliability
- Observability
- Performance Engineering
🌐 Blog: https://pragmaticstack.in/
Practical engineering insights for developers building intelligent systems that last.
AI doesn't replace software engineering—it raises the bar for it.
The most successful AI systems aren't defined by the model they use, but by the engineering that surrounds them—architecture, reliability, security, observability, and operational excellence.
I'm always interested in collaborating on:
- AI Engineering
- Enterprise Architecture
- Cloud Technologies
- Distributed Systems
- Open Source
- Developer Tooling
If you're building something ambitious, let's connect.