I will integrate openai, claude, or local llms into your dotnet application

Everyone demos AI. Shipping it inside a real .NET codebase - with fallbacks, cost control, and no leaked keys - is a different job. That's the job I do.

Senior .NET engineer (12+ years) with AI already in production: a 3-stage document classification cascade (keyword, LLM, vision model) for an aerospace compliance platform, OpenAI-powered product categorization inside a 9-service SaaS, and a multi-provider AI strategy (Gemini primary, OpenAI fallback) generating localized content at scale.

What I build for you:

• Chatbots and assistants inside your existing ASP.NET app
• RAG: your documents or database answering questions accurately
• Classifiers and extractors (invoices, tickets, emails, PDFs)
• Local or private LLM setups (Ollama) when data can't leave your servers
• Multi-provider architectures with streaming, caching, and cost caps

You get production patterns - retries, token budgets, structured outputs, observability - not a hackathon script.

Message me with your app's stack and what you want AI to do; I'll propose the simplest architecture that works before you order.

AI that ships, in the stack you already run.