I will build custom ai pipelines, rag systems, and llm agents

Bridge state-of-the-art LLMs with your private data and business logic.

Standard LLM interfaces fail when handling private company knowledge, multi-step actions, or structured data output. I develop robust, production ready AI pipelines tailored to your architecture.

Core Capabilities:

• Retrieval-Augmented Generation (RAG): Smart ingestion of enterprise PDFs, markdown, and internal docs using hybrid vector keyword retrieval.
• Autonomous Multi-Agent Systems: Multi-step workflows leveraging LangChain, LangGraph, and CrewAI for automated research, routing, and reporting.
• Vector Search & Embeddings: High performance index setups using Pinecone, Qdrant, ChromaDB, or pgvector.
• Model Flexibility: Seamless integration with frontier commercial APIs (OpenAI, Claude) or self-hosted open-weight models (Llama, Mistral) via Ollama/vLLM.

You receive clean, modular code with environment configs ready for cloud deployment. Send your architecture ideas or business problem in a message to get started.