Abdallah Talal Abdallah Alja'Fari

⚡ TL;DR

• 🧠 ML Engineer focused on RAG, Computer Vision, and Arabic NLP
• ⚙️ Build and run AI systems locally (RTX 4050, no API reliance)
• 🚀 Creator of TaLibAI — bilingual Arabic-English RAG for technical docs
• 🏗️ Built and deployed full MLOps pipeline (Docker, CI/CD, Azure)
• 🔬 Strong focus on model behavior, ablation studies, and real-world reliability

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║             DRAGOX7 SYSTEM — BOOT LOG v2026.04.12               ║
╚══════════════════════════════════════════════════════════════════╝

[  OK  ] Loaded: NVIDIA GeForce RTX 4050 Laptop GPU .............. ✔
[  OK  ] Loaded: PyTorch 2.x + CUDA ............................ ✔
[  OK  ] Loaded: TaLibAI RAG Pipeline (Gemma 4) ................ ✔ [80%]
[  OK  ] Loaded: ZenML MLOps Orchestrator ...................... ✔
[ WAIT ] Loading: Unity 2D Action RPG Project .................. ⟳
[  OK  ] ENV: UNIVERSITY="Jordan University of Science & Technology"
[  OK  ] ENV: FOCUS="Computer Vision · MLOps · Arabic NLP"
[  OK  ] ENV: PHILOSOPHY="Run it locally. Own the pipeline."

root@DRAGOX7:~$ _

👤 About Me

I'm a 3rd-year Computer Science student at JUST, Jordan who doesn't wait for cloud credits. My RTX 4050 runs experiments at 3 AM. I read papers and then replicate them — parameter counts included. My work sits at the intersection of research depth and production discipline: ablation studies, MLOps pipelines, RAG architectures, and real inference on real hardware.

A Deep Learning application (DenseNet121) for detecting chest X-ray abnormalities. Built with PyTorch & FastAPI, containerized with Docker, and automatically deployed to Azure via GitHub Actions (CI/CD).