Planning an AI product but unsure about architecture, model choices, scalability, or implementation strategy?

I help founders, startups, and product teams design AI systems the right way before expensive development mistakes happen.

With 12+ years of engineering experience and deep expertise in LLM systems, RAG pipelines, AI agents, vector search, cloud deployment, and production architecture, I provide practical technical strategy—not generic AI advice.

Perfect for: • AI startup architecture planning • LLM product technical strategy • RAG architecture design • AI agent system planning • Model/provider selection • Infrastructure planning & scaling strategy • Cost optimization & architecture review • MVP scoping & roadmap planning • Technical due diligence for AI initiatives

What I can help with: ✅ AI product architecture design ✅ OpenAI / Claude / Gemini / Llama model selection ✅ RAG architecture decisions ✅ Vector DB strategy (pgvector / Pinecone / Qdrant / Chroma) ✅ Prompt engineering & evaluation strategy ✅ AI agent workflow design ✅ Cloud architecture (AWS / containers / deployment) ✅ Scalability & performance planning ✅ Security & production-readiness reviews ✅ Technical roadmap & implementation guidance

Best for teams that need expert direction before building—or fixing—a costly AI system.