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AI Development Services

Integrate the power of Artificial Intelligence directly into your existing .NET ecosystem. I specialize in building production-ready RAG (Retrieval-Augmented Generation) architectures, integrating OpenAI and Azure AI APIs into C# applications, and creating intelligent agents that automate complex business workflows — saving time and reducing operational costs.

What's Included

  • Custom LLM Integration (OpenAI, Azure AI) — Integrate GPT-4, Azure OpenAI, or open-source models into your .NET apps via C# SDK and Microsoft Semantic Kernel for intelligent, context-aware features.
  • RAG Architecture for Enterprise Data — Connect your internal documents, databases, and knowledge bases to LLMs so responses are grounded in your real business data rather than generic training data.
  • Semantic Search & Vector Databases — Implement vector search using Qdrant, Pinecone, or Azure AI Search to make large document collections queryable by meaning rather than just keywords.
  • Intelligent Process Automation — Build AI agents capable of multi-step reasoning, API orchestration, and autonomous decision-making to replace repetitive manual workflows.

Technologies & Stack

.NET / C#, OpenAI API, Azure AI Services, Azure OpenAI, Qdrant, Pinecone, pgvector, Entity Framework Core, ASP.NET Core Web API, Docker, Azure Container Apps.

Who This Is For

This service is ideal for businesses running .NET applications that want to layer in AI capabilities without rebuilding from scratch, startups building AI-native products on the .NET stack, and teams that need a dedicated freelance AI developer with deep C# and backend architecture expertise. Whether you need a smart document Q&A tool, an AI-powered customer support system, or a fully automated data pipeline using LLMs — I can design and deliver it end-to-end. Need a complete AI-native SaaS product? See SaaS Application Development. For production AI agent deployment and governance, see OpenClaw Agent Development.

Discuss Your AI Project