Ziad Ali Hassan | AI Engineer

01. About Me

I'm a motivated AI Engineering undergraduate at Helwan University, Faculty of Science (B.Sc. Mathematics & Computer Science, expected 2027) with hands-on experience in Machine Learning, Large Language Models, Retrieval-Augmented Generation, NLP, and Computer Vision.

I completed an intensive ML internship at the National Telecommunication Institute (NTI) and the Sprints x Microsoft AI Summer Camp. Currently, I'm undergoing advanced training in Agentic AI through the Digital Egypt Pioneers Initiative (DEPI), focusing on building autonomous AI agents and multi-step reasoning systems.

I'm passionate about building intelligent, production-ready systems and actively seeking opportunities to make an impact through AI.

Location

Cairo, Egypt

Education

B.Sc. Math & CS — Helwan University

Focus

AI / ML / NLP / Computer Vision

Languages

Arabic (Native), English (Intermediate)

02. Experience

Agentic AI Trainee

Digital Egypt Pioneers Initiative (DEPI)

2025 – Present

Undergoing intensive training in Agentic AI, focusing on building autonomous AI agents and multi-step reasoning systems.
Gaining hands-on experience with LLM-powered agent frameworks, tool use, and orchestration pipelines.

Machine Learning Intern

National Telecommunication Institute (NTI)

Aug 2025 (1 Month)

Preprocessed real-world datasets by handling missing values, correcting outliers, and applying feature engineering to improve model performance.
Trained and evaluated supervised learning models including Linear Regression, Logistic Regression, Decision Trees, KNN, SVM, and Naive Bayes.
Studied fundamentals of ANN, Deep Learning, NLP, and Computer Vision through guided projects.

03. Projects

Loan Classification Model

NTI Graduation Project — 2025

Built a stacked ensemble classifier to predict loan association for bank users. Cleaned and preprocessed data by removing outliers and engineering meaningful features. Evaluated and combined optimal ML algorithms (DecisionTreeClassifier, Random Forest, SVM) using a stacking strategy. Implemented with OOP principles for modular, production-ready code.

Python Scikit-learn XGBoost Matplotlib Seaborn OOP

UNI_PATH — RAG Chatbot

Personal Project — 2026

Document-aware question answering system using Retrieval-Augmented Generation. Designed a RAG pipeline with LangChain and FAISS vector database for accurate document-grounded responses. Integrated Hugging Face embedding models for semantic search. Applied prompt engineering to reduce hallucinations and improve accuracy.

LangChain FAISS Hugging Face RAG Prompt Engineering

04. Technical Skills

Programming Languages

Python

ML Frameworks & Libraries

PyTorch TensorFlow Keras Hugging Face Scikit-learn LangChain OpenCV

AI Domains

LLMs & Generative AI NLP Computer Vision MLOps

NLP & GenAI Techniques

RAG Systems Prompt Engineering Text Classification Sentiment Analysis FAISS Pinecone

Tools & Platforms

Git & GitHub Docker FastAPI Flask Jupyter Notebook

05. Certifications

AI Fundamentals

DataCamp

Aug 2025

Covered AI use cases, Generative AI concepts, prompt engineering, and AI ethics.

Machine Learning

National Telecommunication Institute (NTI)

2025

Completed applied ML training covering model building, evaluation, and deployment.

Getting Started with Deep Learning

NVIDIA

Aug 2025

Studied neural networks, CNNs, and optimization techniques in an industry-led course.

AI & Machine Learning Specialization

Sprints x Microsoft Summer Camp

Jul 2025

Completed intensive training in Data Analysis, Supervised & Unsupervised ML.

06. Get In Touch

I'm currently looking for an AI Engineer internship opportunity. Whether you have a question, a project idea, or just want to say hi — my inbox is always open!

Ziad EL-Zahar

AI Engineer |