Machine Learning Engineer

I am a Machine Learning Engineer focused on applied AI, retrieval-augmented generation, and computer vision. I build practical AI systems using Python, modern machine learning frameworks, and production-ready backend APIs.

I have hands-on experience developing RAG pipelines, semantic search systems, multimodal document ingestion workflows, and LLM-powered applications. My work includes support for Arabic-first and multilingual educational content.

I built the AI assistant for Nabra, adapting an educational RAG backend for production quiz generation, content generation, and summarization. I also contributed AI-driven analytics capabilities such as content-improvement suggestions and at-risk student alerts.

I have developed candidate-job matching systems using embeddings, FAISS semantic search, CV extraction, Gemini-powered gap analysis, and SQL-backed application data. I also create and deploy public machine learning prediction APIs with FastAPI.

I am currently expanding my expertise in OpenCV, real-time video analysis, LLM integration, Docker-based deployment, WebSockets, and open-source machine learning projects. I enjoy building reliable, useful AI products from data ingestion through deployment.