Aymen A.

I build production AI systems that connect LLMs with real business data, APIs, and workflows including enterprise RAG platforms, AI agents, internal copilots, AI-powered SaaS features, and intelligent automation. My recent work includes enterprise RAG systems that integrate multiple knowledge sources such as Zendesk, Confluence, Microsoft Teams, internal documents, databases, and APIs. I also build agentic systems that can query structured data, call tools, analyze information, and perform multi-step workflows instead of simply generating text. I’m a Top Rated AI Engineer with 100% Job Success, $13K+ earned, and 500+ hours on Upwork. I work best with startups and product teams that need someone who can take an AI feature from architecture through implementation, integration, testing, and deployment not stop at a notebook or proof of concept. I can help with: * AI Agents and tool-calling systems * Retrieval-Augmented Generation (RAG) * Enterprise knowledge assistants and internal copilots * AI chatbots integrated with business data * LLM-powered SaaS features * Structured-data and database-connected AI agents * API and third-party platform integrations * AI workflow automation * Real-time and streaming AI applications * Computer Vision and image-processing systems My typical stack includes Python, FastAPI, LangChain/LangGraph, PostgreSQL, pgvector/vector databases, OpenAI, Anthropic, AWS, REST APIs, WebSockets, and OpenCV. I focus heavily on production concerns such as retrieval quality, hallucination reduction, data ingestion, evaluation, permissions, reliability, maintainability, and designing systems that can expand as the product grows. If you already have an AI product that needs improvement, or you have an idea that needs to become a reliable production system, I can help design the architecture and build it end-to-end.