Already have an AI project that’s slow, buggy, unreliable, or stuck in prototype mode?

I help founders and teams rescue broken AI products and turn them into production-ready systems.

Many AI projects fail because they were rushed with poor architecture, weak retrieval pipelines, bad prompt design, unreliable tool calling, or messy AI-generated code.

I step in to diagnose issues, fix bottlenecks, improve reliability, and harden the system for real users.

Perfect for: • Broken LangChain / LangGraph apps • Slow RAG chatbots • Poor retrieval accuracy • Buggy AI copilots • Half-finished Cursor / Claude-generated apps • OpenAI integrations with scaling issues • Production deployment failures • Memory/context problems in AI agents

What I can deliver: ✅ Architecture audit & technical review ✅ Performance optimization ✅ RAG retrieval fixes & chunking improvements ✅ Prompt engineering cleanup ✅ Tool calling reliability fixes ✅ AI agent workflow debugging ✅ API/backend optimization ✅ Cloud deployment hardening ✅ Monitoring & observability setup ✅ Code refactoring & cleanup

Tech Stack: LangChain, LangGraph, FastAPI, Python, OpenAI, Claude, AWS, Docker, Kubernetes, PostgreSQL, Redis

If your AI project feels messy, unstable, or not production-ready, I can help fix it properly.