I create sophisticated retrieval-augmented generation pipelines and artificial intelligence agent workflows using large language models

To elevate a large language model beyond simple conversation, I offer assistance in developing sophisticated RAG pipelines and multi-agent AI workflows that are precise, scalable, and prepared for deployment.

Leveraging tools such as LangChain, LlamaIndex, CrewAI, and leading LLMs like GPT, Claude, or LLaMA, I will integrate your data, streamline reasoning processes, and provide a customizable Generative AI system for your organization.

Supported Applications:

• Conversational agents trained on your documents, web content, or information repository
• Internal support systems that fetch, examine, and generate structured responses
• Agents for planning or making decisions in fields such as audit, legal, finance, or healthcare
• Asynchronous multi-agent setups using CrewAI or LangGraph
• RAG APIs suitable for user interfaces, software as a service, or corporate applications

Deliverables Include:

• RAG system configuration (LangChain or LlamaIndex) with FAISS/Qdrant
• Multi-agent coordination using CrewAI or LangGraph
• Structured data outputs (function invocation, JSON, Pydantic)
• LLM connectivity (OpenAI, Claude, Ollama, HuggingFace)
• REST API using FastAPI, with an optional Docker container
• Well-organized, scalable code accompanied by documentation

Reasons to Collaborate:

• Over two years of experience creating production-ready Generative AI applications
• Real-world expertise in asynchronous workflows
• Prompt, communicative, and dedicated service