I will integrate rag and llm features into your existing web or mobile app

Want to add real AI capability to your existing product not just an API wrapper, but a properly engineered RAG system?

I build RAG pipelines and LLM integrations from the ground up: ingestion, chunking, embedding, retrieval, and generation engineered around your actual data, not a generic template.

My background: I've built RAG systems using Ollama and Qwen2.5 from primitives, on-device LLM inference for mobile apps (published npm package), and OCR-based document intelligence pipelines processing real production data for an enterprise banking platform.

What I can help with:

• RAG-based Q&A or search for your existing app
• LLM API integration (OpenAI, Anthropic, open-source models)
• On-device or self-hosted LLM inference for privacy-sensitive use cases
• Document processing pipelines (OCR + AI)
• Chatbot integration on top of your knowledge base

I work across the full stack Python/FastAPI on the backend, React/React Native on the frontend so AI features integrate cleanly into your architecture, not bolted on.