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Samar-Khalid/README.md

👋 Samar Khalid Zidan

AI Engineer · Teaching Assistant · Python Developer · M.Sc. CS Candidate

About Me

AI Engineer at N.Fert building AI-powered manufacturing solutions. Teaching Assistant at AlRyada University. M.Sc. Computer Science candidate at Menoufia University (3.6/4.0 GPA).

  • 👨‍🏫 Mentored 1000+ learners in AI/ML/Data Science
  • 📺 2 TV appearances (Future of Egypt & Egyptian National TV)
  • 🏆 11+ certifications — AWS, ITI, Huawei, Google, IBM, Meta, DataCamp
  • 🎯 96% graduation project (Deepfake Detection)

Featured Projects

🔮 Prism Analytics — AI manufacturing analytics with NL2SQL, anomaly detection, and intelligent reporting.
FastAPI PostgreSQL OpenAI Docker
Repository

⚡ Codex Enterprise — Modular framework for building AI-powered enterprise applications.
FastAPI PostgreSQL Redis Docker
Repository

📊 Prism Enterprise Benchmark — 100% synthetic benchmark dataset for evaluating AI on manufacturing scenarios.
Python CSV JSON
Repository

Exploring all projects? → Repositories

GitHub Stats

Let's Connect

LinkedIn · Email · Portfolio · WhatsApp

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  1. AI-BI-Learning AI-BI-Learning Public

    Structured learning path combining AI/ML with Business Intelligence for enterprise solutions

  2. Codex-Enterprise-AI-Platform Codex-Enterprise-AI-Platform Public

    Modular framework for building AI-powered enterprise applications

    Python

  3. Odoo-Custom-Modules Odoo-Custom-Modules Public

    Custom Odoo ERP modules with AI integration for manufacturing operations

    Python

  4. Prism-Enterprise-Analytics Prism-Enterprise-Analytics Public

    AI-powered manufacturing analytics platform with NL2SQL, anomaly detection, and intelligent reporting

    Python

  5. Manufacturing-Synthetic-Data-Generator Manufacturing-Synthetic-Data-Generator Public

    Generate realistic synthetic manufacturing data for testing and benchmarking

    Python

  6. Prism-Enterprise-Benchmark Prism-Enterprise-Benchmark Public

    100% synthetic benchmark dataset for evaluating AI models on enterprise manufacturing scenarios

    Python