You get an AI feature shipped inside your real product: LLM-powered chat, RAG over your data, content moderation, or smart matching/recommendations. I handle the full path: prompt design, API integration, retrieval pipeline, evaluation, cost controls, and the backend plumbing around it. I built a behavioral matching engine scoring users in under 1ms in production, so I treat AI as an engineering problem, not a demo. You get working code in your stack, not a notebook.