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I'm a Data Science & AI student at ElSewedy University of Technology — Polytechnic of Egypt, driven by a deep passion for AI, data science, and building things that actually work in the real world.
My technical focus sits at the intersection of Deep Learning and Computer Vision — I've architected, trained, and deployed production-ready models that bridge the gap between research papers and real-time applications. Whether it's pushing inference speeds on edge hardware or designing novel augmentation pipelines, I care about systems that perform under pressure.
ElSewedy University of Technology — Polytechnic of Egypt
- 🎓 Bachelor of Computer Science Technology (B.Tech)
- 📌 Major: Data Science and Artificial Intelligence
| Domain | Skills |
|---|---|
| 🤖 Core AI | Machine Learning, Neural Networks, Deep Learning |
| 👁️ Computer Vision | Object Detection, Real-Time Inference, Image Processing |
| ☁️ Data & Cloud | Cloud Databases, Data Analytics, Visualization |
| Domain | Skills |
|---|---|
| 🗄️ Data Engineering | DBMS, Web Scraping, Data Pipelines |
| 🐧 DevOps & Systems | Linux & Shell Programming, Network Basics |
| 🌐 Development | Web Programming, OOP (Java) |
| ⚙️ Automation | Workflow Automation with n8n |
| 📐 CS Fundamentals | Data Structures & Algorithms, Operating Systems |
- Real-time computer vision systems — from dataset curation to live inference deployment
- Deep learning pipelines — custom architectures, augmentation strategies, and training loops
- Automated workflows — bridging data sources and AI outputs with tools like n8n
- Research-grade models — designed for publication, built for production
- Leadership — Coordinating technical teams and driving project workflows end-to-end
- Communication — Translating complex ML concepts into clear narratives for any audience
I'm always open to collaborating on interesting AI/ML projects, research, or just talking shop.
"The goal is not to build models that fit benchmarks — it's to build systems that work in the wild."