Solutions Architect specializing in Azure, AI, and enterprise cloud-native development. Writing about architecture, AI agents, and building things that scale.
A comprehensive guide to building a Retrieval-Augmented Generation (RAG) system that combines vector databases, document processing, and large language models to create intelligent knowledge retrieval applications.
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A deep dive into the technical architecture of the Stretch Tracker app which combines computer vision and machine learning to monitor and encourage stretching habits for developers.
Build custom .NET CLI tools that turn repetitive, multi-step tasks into a single command. This step-by-step guide shows how to build, package, and share command-line utilities for Microsoft Graph and generic HTTP requests, with practical examples for first-time CLI developers.
Deploy Ollama with Open WebUI locally using Docker Compose or manual setup. Run open-source language models on your own hardware for data privacy, cost savings, and customization.
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Managing multiple Git repositories in a microservices project gets unwieldy fast. This guide shows how a meta-repository built on Git submodules coordinates several repositories without merging them, covering setup, the daily push workflow, and the sync problems that bite teams in practice.
Create a REST API that converts natural language into SQL queries using OpenAI, enabling non-technical users to access database information without SQL knowledge.
Learn how to perform CRUD operations and implement chunked upload strategies for Azure Blob Storage in a .NET and Angular application. Covers SAS tokens, container management, and production-ready file upload patterns.
Learn to implement file upload, download, search, and deletion in SharePoint using Microsoft Graph API with .NET, including authentication and error handling.
Create a modern AI chat application using .NET, Azure OpenAI, and Angular with real-time communication and document analysis capabilities.
Learn essential best practices for designing and implementing DTOs (Data Transfer Objects) in Clean Architecture. This guide covers how to create purpose-specific DTOs, implement effective mapping strategies, and improve API performance and maintainability.
A working Clean Architecture setup in .NET, explained through a real Contact Management API. Layer responsibilities, dependency flow, and the project structure that holds it together.
Learn how to properly configure Dependency Injection in Clean Architecture across multiple layers. This guide demonstrates how to register services, repositories, and utilities while maintaining separation of concerns for more maintainable and testable .NET applications.