Zeyad M.

AI Engineer specializing in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation. I build practical AI solutions that help businesses automate workflows, improve decision-making, and create better user experiences.

My experience includes developing AI-powered chatbots, Natural Language-to-SQL systems, Retrieval-Augmented Generation (RAG) applications, autonomous AI agents, and multimodal AI solutions using modern AI frameworks and Python.

I work with technologies including Python, FastAPI, LlamaIndex, Qdrant, Gemini, Scikit-learn, and modern LLM APIs to deliver reliable and scalable solutions tailored to project requirements.

I can help with:

• AI chatbots and virtual assistants

• Retrieval-Augmented Generation (RAG) systems

• AI agents and workflow automation

• Prompt engineering and LLM evaluation

• Natural Language Processing (NLP)

• Machine Learning solutions

• Python backend development for AI applications

• Data preprocessing and model development

I value clean architecture, maintainable code, and clear communication throughout every project, with a focus on delivering solutions that provide real value.