.NET Backend + AI Workflow
I specialize in ASP.NET Core, REST APIs, clean architecture, and Azure — using AI as an accelerator for analysis, development, and code review.
Focused on well-structured .NET backends, clear data flows, and AI-assisted engineering workflows.
Case studies that show how I approach APIs, architecture, data, and AI inside software products.
Comparing three architecture choices by deployment shape, dependency direction, feature ownership, and production trade-offs.
Mapping a .NET 8 microservices ecosystem into N-Layer, Clean Architecture, and Vertical Slice boundaries for clearer production ownership.
Explaining Clean Architecture as a dependency rule that protects business logic from framework, database, and delivery mechanism changes.
Practical notes about learning .NET, designing APIs, and working effectively with AI.
How the dependency rule protects the Ordering domain from infrastructure, frameworks, and delivery mechanisms.
A practical map of N-Layer, Clean Architecture, and Vertical Slice patterns inside a .NET 8 microservices system.
A pragmatic comparison of feature-first and layer-first organization in a .NET 8 microservices ecosystem.