I will develop ai agent automations, rag systems, llm for you

I build RAG pipelines, AI chatbots, LLM integrations, document Q&A systems, AI agents with tool use, fine-tuned models, and automated AI workflows using Python, LangChain, OpenAI, Anthropic, and vector databases like Pinecone and ChromaDB.

Yes. I can connect OpenAI, Anthropic or any LLM API into your existing platform via a FastAPI or Flask backend. Whether it is a web app, internal tool or SaaS product, I handle the full integration end to end.

RAG (Retrieval-Augmented Generation) lets your AI answer questions using your own documents, PDFs or databases — not just its training data. If you want an AI that knows your business, products or internal data, you need a RAG system. I build these with LangChain, LlamaIndex, Pinecone and ChromaDB.

Yes. I specialize in custom model fine-tuning using LoRA, PEFT and Hugging Face Transformers. This is ideal when you need a model trained specifically on your domain — such as legal, medical, finance or customer support data.

Absolutely. You receive full ownership of all source code, clear documentation, and a handover guide so your team can maintain or extend the solution independently.

Yes. I offer post-delivery support for bug fixes and clarifications. For ongoing maintenance or feature additions, we can discuss a retainer or follow-up order based on your needs.