I build intelligent software systems where AI, cloud, distributed systems, and modern .NET engineering come together.

My focus is at the intersection of AI engineering and software architecture: taking rapidly evolving AI capabilities and turning them into reliable, secure, observable, scalable products not isolated experiments.

What I bring

🤖 AI & Intelligent Systems Azure AI Search • LLM-powered workflows • Semantic Search • Document Intelligence • RAG • AI-augmented applications

🏗️ Architecture & Backend Engineering .NET 8/9/10 • C# • Distributed Systems • Microservices • gRPC • REST • GraphQL • WebSockets • Clean Architecture • DDD • CQRS

☁️ Cloud-Native Engineering Microsoft Azure • Azure Service Bus • Blob Storage • Redis • Azure AI Search • AWS • Azure DevOps • CI/CD • Cloud-native application design

🔐 Identity & Security Okta • Keycloak • OAuth 2.0 • OpenID Connect • IdentityServer4 • Secure API design • OWASP principles

⚡ Full-Stack Engineering Blazor • Angular • React • Next.js • Building high-performance enterprise experiences

📡 Event-Driven & Real-Time Systems RabbitMQ • Apache Kafka • MassTransit • SignalR • WebSockets • Event-driven architecture

🗄️ Data & Performance SQL Server • PostgreSQL • Database design • Query optimization • Performance engineering

🧪 Engineering Quality xUnit • NUnit • bUnit • Moq • TDD • Automated testing • CI/CD • Production reliability

I care about how systems are designed, not just how they are coded understanding the business problem, choosing the right boundaries, designing for failure and scale, and building software that remains maintainable as it grows.

I enjoy collaborating with engineers, architects, product teams, and clients across the full engineering lifecycle from problem discovery and system design to implementation, optimization, deployment, and continuous evolution.

My goal is simple:

Build software that is intelligent by design, scalable by architecture, and valuable in the real world.

Proficiency over tenure. Always.