Integrate intelligent, context-aware AI capabilities into your web or mobile application. Rather than generic API wrappers, I architect production-grade LLM systems with custom retrieval pipelines (RAG), vector embeddings, and autonomous agent tool-use.

Whether you need a domain-specific conversational assistant, document Q&A intelligence, or automated workflow agents, I deliver reliable, low-latency AI solutions.

What’s Included: • RAG Pipeline Design: Document chunking, vector embeddings, and hybrid search (Pinecone, pgvector, or Weaviate) • LLM Orchestration: Claude API & OpenAI integration with custom prompt systems and structured JSON outputs • Agentic Workflows: Multi-step tool use, function calling, and automated background tasks • Full-Stack Interface: Responsive chat interface, streaming responses, and token cost monitoring • Enterprise Guardrails: Rate limiting, prompt injection defense, and automated fallbacks • Production Cloud Deployment: AWS / GCP / Supabase infrastructure setup.