Senior C# / .NET backend & R&D engineer based in Málaga, Spain.
I enjoy building developer tools, AI integrations, and non-trivial algorithms instead of yet another CRUD over JSON.

• 10+ years with C#, .NET, ASP.NET, SQL
• Experience in R&D: text & image classification, DLP rules, internal DSLs, ML datasets
• Speaker, blogger, and open-source contributor

• 🧠 Developer tools & AI

  • Connecting LLMs to real-world systems and APIs
  • Reducing hallucinations by giving models access to real metadata and code

• 🧩 Algorithms & data structures

  • Maze generation and solving
  • Efficient data processing and throttling

• 🛠 Compiler & tooling

  • Roslyn source generators
  • Internal DSLs, code analyzers and code fixes

• ✅ Testing & DSLs

  • Fluent test builders
  • Human-readable test descriptions
  • Tools that make tests less painful and more expressive

Local MCP server that gives LLMs accurate C# API definitions from NuGet packages instead of relying on outdated training data.

• Interfaces, enums, classes, records and structs on demand
• Package search, metadata, files and dependencies
• Works with MCP-enabled clients (Ollama, Claude, VS Code, etc.)

Repo: DimonSmart/NugetMcpServer

Lightweight C# library for generating and solving mazes with a wave (Lee) algorithm.

• Deterministic maze generation with tunable density
• Shortest path reconstruction and plotting
• Multi-targeting: .NET 6 / 7 / 8 / 9 / 10

Repo: DimonSmart/MazeGenerator

Tools that extend the C# compiler and remove boilerplate:

• StringTrimmerGenerator – trims all string properties in your models automatically
• BuilderGenerator – generates builder patterns from your classes

Repos:

• DimonSmart/StringTrimmerGenerator
• DimonSmart/BuilderGenerator

• RegexUnitTester – describe regex tests in a compact, readable form
  Repo: DimonSmart/RegexUnitTester

• LikeSpecFlow – experiment on how to write SpecFlow-like tests in pure C#
  Repo: DimonSmart/LikeSpecFlow

• 📝 Blog: dimonsmart.wordpress.com
• 🎥 YouTube: IT Chatter
• ✍️ Articles on classification, DSLs and algorithms (Habr, dev.to, etc.)

• Languages: C#, T-SQL
• Backend: .NET, ASP.NET, Web API, background services
• Data: SQL Server, EF Core, Dapper
• Infra: Docker, GitHub Actions
• AI / R&D: MCP, LLM tools, text & image classification, internal DSLs

If you like building tools, playing with algorithms or integrating AI into real systems, we will probably get along 🙂