BaselZiada

Building AI agents, RAG systems & Generative AI applications that run reliably in production. Based in Cairo, Egypt.

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Basel Ziada — AI Engineer
BASEL ZIADA
CAIRO, EGYPT
AI Engineer
01

About

Who I Am

I'm an AI Engineer with 1+ years of hands-on experience developing and integrating AI solutions. I build AI agents, agentic workflows, RAG systems, and Generative AI applications, connecting them to real-world applications, external services, and MCP-based tools to support practical, production-ready workflows.

My work spans LLM fine-tuning, image generation, and Computer Vision, supported by a strong foundation in cloud technologies and end-to-end AI development.

I won 1st place in North Africa and 2nd worldwide at the Huawei ICT Innovation Competition 2025. I've also led developer communities as a GDG Leader, Microsoft Learn Student Ambassador, and Huawei Cloud Ambassador.

0+
Years in AI Engineering
0
Awards & Medals
0
Research Papers
0+
Students Reached
LocationCairo, Egypt
UniversityNew Mansoura University
Emailbasilziada62@gmail.com
LanguagesArabic (Native), English (Fluent)
FocusGenAI · LLMs · RAG · Agentic AI · CV
about_me.py
1$cat about_me.py
2class AboutMe:
3def __init__(self):
4self.name = "Basel Ziada"
5self.title = "AI Engineer"
6self.education = "B.Sc. Artificial Intelligence"
7self.university = "New Mansoura University"
8self.location = "Cairo, Egypt"
9self.email = "basilziada62@gmail.com"
10 
11def get_skills(self):
12return {
13"GenAI": ["LLMs", "RAG", "AI Agents"],
14"ML & DL": ["PyTorch", "Hugging Face", "YOLO"],
15"Cloud": ["Huawei Cloud", "GCP", "AWS", "Azure"],
16}
17 
18def get_experience(self):
19return [
20"AI Engineer",
21"Generative AI Professional Trainee @ DEPI",
22"NVIDIA DLI Generative AI Trainee @ ITI",
23]
24 
25def get_mission(self):
26return "Build intelligent systems that make a real-world impact"
27
02

Skills

AI & Machine Learning

13 skills
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG
  • AI Agents
  • Agentic AI
  • NLP
  • Computer Vision
  • Fine-Tuning
  • Model Evaluation
  • LLM Evaluation
  • AI Reliability

Frameworks & Libraries

9 skills
  • PyTorch
  • TensorFlow
  • Keras
  • scikit-learn
  • Hugging Face Transformers
  • OpenCV
  • YOLO
  • LangChain
  • LangGraph

Programming & Data

8 skills
  • Python
  • SQL
  • C/C++
  • NumPy
  • Pandas
  • Matplotlib
  • JSON
  • YAML

Tools & Platforms

8 skills
  • Git
  • GitHub
  • GitLab
  • Linux
  • Docker
  • Jupyter Notebook
  • Gradio
  • VS Code

Cloud

4 skills
  • Google Cloud Platform
  • AWS
  • Microsoft Azure
  • Huawei Cloud
03

Work

Generative AI, LLM and Computer Vision systems built end to end.

VisualForge AI
PROJECT 01

VisualForge AI

Generative AI

End-to-end image generation pipeline on Stable Diffusion XL that unifies Text-to-Image, Image-to-Image and Inpainting, fine-tuned with LoRA for product advertising and Egyptian cultural visuals.

PythonStable Diffusion XLLoRAHugging FaceGenerative AI
QLoRA Fine-Tuning for Large Language Models
PROJECT 02

QLoRA Fine-Tuning for Large Language Models

LLM Fine-Tuning

Parameter-efficient fine-tuning pipeline for a causal LLM using QLoRA, LoRA adapters and 4-bit NF4 quantization, with evaluation and an interactive Gradio interface.

PythonHugging FacePEFTTRLBitsAndBytesGradio
NMU Dental Hospital Management System
PROJECT 03

NMU Dental Hospital Management System

Computer Vision · Graduation Project (A+)

AI-assisted computer vision module that analyzes panoramic dental X-rays and identifies multiple dental conditions, integrated into the hospital management system.

Deep LearningComputer VisionYOLOPython
Keyword Extraction Tool
PROJECT 04

Keyword Extraction Tool

NLP

NLP desktop application for keyword extraction and text summarization using TF-IDF and Hugging Face Transformers.

PythonCustomTkinterNLTKscikit-learnTransformers
Sign Language Recognition
PROJECT 05

Sign Language Recognition

Computer Vision

Real-time sign language recognition system using computer vision and deep learning, with live camera inference and visual feedback.

PythonOpenCVMediaPipeTensorFlow Lite
04

Experience

AI Engineer @ OFOQ4 Intensive AI Programs5 Leadership Roles
Jul 2026 – Present

AI Engineer

OFOQ

  • Develop AI agents, Agentic AI workflows, and RAG-based systems for real-world production AI applications, focusing on retrieval, context handling, and intelligent task execution.
  • Integrate AI components with application workflows and external systems to support end-to-end intelligent functionality.
  • Test and refine AI workflows to improve response quality, retrieval relevance, consistency, and overall system reliability in production environments.
AI AgentsAgentic AIRAGLLMsMCP
Nov 2025 – Jul 2026

AI & Data Science – Generative AI Professional Trainee

Digital Egypt Pioneers Initiative (DEPI)

  • Developed hands-on experience in Generative and Agentic AI, including LLMs, GANs, Transformer-based models, Prompt Engineering, NLP with Attention models, and Computer Vision.
  • Applied Python, Hugging Face, and deep learning frameworks to build practical Generative AI solutions and agentic workflows.
Generative AILLMsTransformersHugging Face
Aug 2025 – Sep 2025

NVIDIA DLI Summer Training Program: Generative AI Trainee

Information Technology Institute (ITI)

  • Completed 35 hours of training covering AI foundations, Generative AI concepts, and hands-on LLM application development.
  • Built LLM applications using Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques.
NVIDIA DLILLMsRAGPrompt Engineering
Aug 2025 – Sep 2025

Artificial Intelligence Trainee

Information Technology Institute (ITI)

  • Completed 90 hours of hands-on Artificial Intelligence training covering Python, data preparation and exploration, probability and statistics, linear algebra, and numerical optimization.
  • Applied Python-based machine learning workflows and built a deep learning project using neural networks.
PythonMachine LearningDeep Learning
Oct 2024 – May 2025

Microsoft Machine Learning Engineer Trainee

Digital Egypt Pioneers Initiative (DEPI)

  • Developed practical Python skills using NumPy, Pandas, and Matplotlib for data preparation, analysis, and visualization.
  • Applied statistics and probability concepts to real-world datasets while developing practical machine learning workflows.
PythonNumPyPandasMatplotlib
05

Education

Bachelor's Degree in Artificial Intelligence

New Mansoura University

Oct 2022 – Jul 2026

GPA
3.8 / 4.0
Excellent with Honors
Department Rank
1st
Top of the department
Graduation Project
A+
NMU Dental Hospital Management System
06

Research

Applied AI research in sustainability and healthcare.

Basel Ziada presenting research at a podium
Presenting at IEEE ICMISI 2026
PublishedSecond-Place Best Paper Award

A Novel Sustainable AI Approach For Leveraging IoT Carbon Footprint Data For Real-Time CO2 Monitoring and Quantification

3rd IEEE International Conference on Machine Intelligence and Smart Innovation (ICMISI 2026) · IEEE Xplore

View on IEEE Xplore
Under Review

A Novel CNN Approach For EEG-based ADHD Diagnosis in Children

Manuscript under review

07

Contact

Open to AI engineering roles, research collaborations and freelance projects. Let's connect.

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