Abdallah Talal Abdallah Alja'Fari

getfolio.dev/dragox7

May 14, 2026

Jordan

“An AI student as just university”

@DRAGOX7ataljafari23@cit.just.edu.joResume203 commits12 repos★ 1

About

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⚡ 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

╔══════════════════════════════════════════════════════════════════╗
║             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 who doesn't wait for cloud credits. My RTX 4050 runs experiments at 3 AM. I read papers and then them — parameter counts included. My work sits at the intersection of and : ablation studies, MLOps pipelines, RAG architectures, and real inference on real hardware.

Contributions

2025
2026
getfolio.dev/dragox7May 14, 2026
Made with getfolio.dev
JUST, Jordan
replicate
research depth
production discipline

I care about building AI that works in the real world — especially for Arabic and technical Arabic contexts that most English-first tools ignore.

"Most people use models. I study why they break."


🚀 Current Research & Focus

ProcessStatusPriority
🤖 TaLibAI — RAG pipeline (Gemma 4 + local embeddings)[▓▓▓▓▓▓▓▓░░] 80%HIGH
👾 Unity 2D Action RPG — AI-integrated game mechanics[▓▓▓░░░░░░░] 30%MEDIUM
🔬 Retrieval Latency Optimization — TaLibAI sub-module[▓▓▓▓▓░░░░░] 50%HIGH
📚 Gemma 4 Fine-tuning — domain adaptation[▓▓░░░░░░░░] 20%ACTIVE

📂 Featured Experiments & Projects


🤖 TaLibAI — The Main Event

RAG Pipeline for Technical Documentation | Python · Gemma 4 · PyTorch · Local Embeddings

Not another LLM wrapper. TaLibAI is a ground-up retrieval-augmented generation pipeline designed to reason over dense technical PDFs (C++, ML textbooks). Built with custom chunking strategies tuned for code-heavy documents, local vector embeddings for full data privacy, and optimized query latency on consumer hardware.

  Architecture:  PDF Ingestion → Chunker → Local Embedder → Vector Store → Gemma 4 → Response
  Hardware:      NVIDIA RTX 4050 (no API bills)
  St

Technology

Jupyter NotebookPythonMATLABDockerAWS

Selected Work

chest-xray-mlops[OSS] · Jupyter Notebook · ★ 1

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).

DRAGOX7[OSS] · ★ 0
TaLibAI[LIB] · Python · ★ 0

TaLibAI: A Multilingual RAG Study Assistant for JUST University students, featuring local PDF/Image ingestion, FastAPI background processing, and Gemini/Ollama integration.

JorSenti-LoRA[OSS] · Jupyter Notebook · ★ 0

End-to-end MLOps pipeline and NLP engine analyzing Levantine/Jordanian Arabic sentiment using a custom PEFT/LoRA architecture (MARBERTv2).

Night-Vision-Enhancement-Using-Retinex-and-Deep-Learning[OSS] · MATLAB · ★ 0

Low-light image enhancement using Retinex, CLAHE, and Deep Learning techniques.

Abdallah Talal Abdallah Alja'Fari

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218 contributions in the last year