Ayoub A.

I build production-ready AI systems that integrate language models into real business workflows — with a strong focus on reliability, data privacy, and scalability. My work spans RAG (Retrieval-Augmented Generation), semantic search, AI automation, and backend API development. I’ve contributed to production AI systems in regulated environments, where clean architecture, validation, and failure handling matter as much as model quality. What I can help with: • RAG systems using vector databases for search and reasoning • AI-powered document and data processing pipelines • Backend AI APIs (Python, FastAPI) ready for production use • AI automation and workflow orchestration (including n8n) • Integrating LLMs into existing systems safely and reliably I care about doing AI properly — not demos that break in production. That means structured outputs, schema validation, observability, and clear system boundaries. I’m especially interested in projects where AI needs to reason over information and take actions, not just generate text. Core stack: Python, FastAPI, RAG, vector databases (pgvector), NLP, computer vision, Docker, PostgreSQL, OpenAI API, n8n