
Mahmoud Refaey
AI Engineer building RAG systems, LLM agents and Arabic NLP
Habilidades

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Porfolio
Experiencia laboral
AI Engineer
Brands
Jul 2026 - Present • 4 mos
Working on an Arabic RAG chatbot over a regional bank's internal PDFs. I worked on most of the pipeline: EasyOCR ingestion, cleanup, chunking, hybrid retrieval (BM25 plus Azure OpenAI embeddings in Azure AI Search, merged with reciprocal rank fusion), query rewriting, cross-encoder reranking and evaluation. Better OCR on the Arabic PDFs and stronger retrieval helped raise faithfulness from 79% to 97% and correctness from 61% to 85% (measured with DeepEval). I also co-built Chinhook, an open-source Text-to-SQL agent sponsored by GBG. I designed the LangGraph workflow (query rewriting, schema retrieval from Qdrant, SQL generation, and a verification step before any answer goes out), restructured it so each user connects their own database and model without stored credentials, and deployed the internal version on Azure with Docker.
AI Engineer Intern
Beetleware
Aug 2025 - Jan 2026 • 5 mos
Worked remotely on NexaOS, an AI-powered web desktop app, on both the AI side and the full-stack side. I built an assistant agent for the marketing team and a RAG chatbot that answers questions about the system's content and documents. I also added AI features inside NexaOS apps, like AI text generation in the Notepad-style editor. Along the way I fine-tuned models, built data pipelines and contributed to open-source projects, shipping through CI/CD.