Mehdi is a senior software developer and system architect who has been designing and building production systems since 2000. Across that time he has delivered solutions in office automation, CRM, healthcare management, and industrial and logistics automation, working primarily on the .NET platform and with a strong commitment to clean, object-oriented design.

Since 2016 his work has centered on cloud computing and cloud-native architecture. More recently his main focus has become AI engineering: integrating large language models into real .NET applications through function calling and tool use, building retrieval-augmented generation (RAG) pipelines, and combining vector search with graph databases such as ArangoDB and NebulaGraph for semantic discovery and reasoning. He also applies these techniques to production problems such as AI-driven root-cause analysis in observability systems.

He writes and speaks about .NET, Azure, practical LLM integration, function calling, vector and semantic search, and graph databases, sharing much of this hands-on work at dotnet-talk.com.