Mohamed Elattar

I build applied AI, IoT, and full-stack SaaS products from architecture through deployment. As the sole technical lead behind Meridian, I architected a multi-tenant pharmacy platform for Egyptian multi-branch chains using React, Supabase, Postgres, Vercel, and Row-Level Security.

For LegalMind AI, I designed an 11-agent legal operating system with hybrid vector and keyword search for law firms across MENA, the US, UK, and EU. I also built FitAI, an LLM-powered fitness and nutrition application that turns surveys, body-composition PDFs, and weather data into personalized plans.

My work includes a real-time IoT fleet monitoring platform for smart drains and bins, along with Smart Drain, a solar-powered structural-health monitoring system using MQTT and a Firebase dashboard for early flood detection.

I apply Python, SQL, TensorFlow, PyTorch, scikit-learn, LLM APIs, and cloud tooling to practical machine-learning work, from computer vision and forecasting to classification, segmentation, and bias-aware modeling.