About Me

I'm Ayham

AI & Cloud Engineer

I am an AI passionate and DevOps Engineering enthusiast for designing intelligent systems and optimizing software deployment pipelines. I love working on projects that combine Cloud-native tools with Software Development or AI Models to deliver scalable solutions. Currently, I focus on improving my expertise in Solutions Architecture, automation, and MLOPS. I enjoy building innovative AI-driven applications and exploring modern DevOps practices

email : alayhim.chaabane@etudiant-enit.utm.tn

place : El Manar, Tunis, Tunisia

Resume

Projects Completed

Internships

Skills & Abilities

Cloud & DevOps

Docker4/5
Kubernetes2.5/5
AWS3/5
Jenkins3/5

Development

Frontend2/5
SQL4/5
No SQL2/5
Flutter3/5

Data Analysis

Data Preprocessing4/5
Data Visualization3.5/5
Feature Engineering3.5/5

AI

Machine Learning4/5
Deep Learning3.5/5
Generative AI2/5

My Education

Education is not the learning of facts, but the training of the mind to think.

National Engineering School of Tunis (ENIT)

Information Technology Engineering (ICT) program

Tunisia's most prestigious engineering institution

Comprehensive curriculum equivalent to Master's degree

2023-2026

Monastir Preparatory Institute for Engineering Studies (IPEIM)

Intensive program in Mathematics, Physics & Computer Science

Ranked top 20% cohort in analytical problem-solving

2021-2023 | Completed

Key Projects

Docker Kubernetes Jenkins AWS

AI-Powered Medical Imaging Diagnosis Platform

Dockerized the services using docker best practices
Implemented CI/CD pipelines achieving 95% deployment success rate
Enhanced security via IAM roles and KMS encryption
Designed cloud architecture handling 10k+ requests/day using AWS

Pandas Matplotlib Seaborn Power BI PostgreSQL ML

SuccessFlow - Relead

Relead is a pioneering startup focused on integrated Wi-Fi marketing solutions
Cleaned & Processed Relead Database
Visualized the most important labels
Feature Engineering & Implemented & Evaluated Various ML Models to evaluate advertising campaigns
Implemented Movemaps & Heatmaps with Folium

Tensorflow Keras Computer Vision DL (CNN)

Breast Cancer Detector

Collected and Preprocessed the Breast Cancer dataset
Applied Data Cleaning and Feature Selection techniques
Built and Trained a Convolutional Neural Network (CNN) using TensorFlow & Keras
Optimized the model for high accuracy in cancer classification
Evaluated performance using metrics such as Accuracy, Precision, and Recall

Pandas NumPy Matplotlib Scikit-Learn ML

Fraudulent Credit Card Detector

Collected and Preprocessed the Credit Card Fraud dataset
Handled Data Imbalance using techniques like SMOTE & Undersampling
Applied Feature Engineering for better model performance
Built and Trained ML Models (Logistic Regression, Random Forest, XGBoost)
Evaluated models using Accuracy, Precision, Recall & F1-Score

I have shared several projects in Machine Learning, Deep Learning, Mobile Software Development that you can explore on my GitHub profile >>

Experience

Mobile Software Development Intern - Tunisie Telecom

July 2024

Data Analysis & AI Intern - Relead

June 2025 - July 2025

DevOps & Cloud Intern - Proxym

August 2025

DevOps Intern - CMG Mind

September 2025 - November 2025

...

Get in Touch

Navigation

home about skills education projects experience

Contact Info

+216 28198570

alayhim.chaabane@etudiant-enit.utm.tn

El Manar, Tunis, Tunisia

Hi There, This is Ayhem