About me

Hi 👋, I'm Ouni

Artificial Intelligence Engineer

Resume:

Highly motivated AI and data science specialist with a strong foundation in applied mathematics and extensive experience in machine learning, deep learning, and computer vision. Seeking opportunities to leverage technical expertise and innovative thinking in solving real-world problems.

Full Name : Ouni Mohamed Amine
Address : Sidi Bouzid Tunis
Email : ounimed019@gmail.com

Skills & Language

AI Frameworks

PyTorch
TensorFlow
Scikit-learn
YOLO
OpenCV
matplotlib

Machine Learning

Transformers
CNNs
RNNs
GANs
XGBoost
Random Forests

Language

English
French
Arabic

Education & Certification

Education

Bachelor of Mathematics

2019

Lycée Faidh • Sidi Bouzid

Degree in Applied Mathematics

2022

ISIMM • Monastir

1st year Master in Data Science

2023

ISIMM • Monastir

Engineer in AI and data science

2025

EPI Digital School • Sousse

Certification

Azure Fundamentals

January 2024

AWS Academy Cloud Foundations

May 2024

Prompt Design in Vertex AI

Oct 2024

ChatGPT Prompt Engineering

Oct 2024

Experiance

Summer Internship

Company: LOGO SYSTEM CONSULTING SAHLOUL

Duration: june 2024 - july 2024

Description: Developed an integrated system utilizing face recognition and object detection to monitor employee movements and identify types of pizzas. Data is stored in a MySQL database and visualized through an interactive dashboard.

More Details

Personal Projects

Intrusion Detection Based on Transformer Learning

Building an intrusion detection system using transformer architecture with pytorch.

Web Scraping and Data Extraction Using LLM

Developed a Python-based web scraping system utilizing Selenium and BeautifulSoup, processed extracted data with the Llama-3.2 API, and built an interactive Streamlit dashboard for data visualization and user accessibility.

AI Data Structuring Project

Project Objective: Extract essential information from images of individuals, including eye color, gender, age prediction, presence of makeup, identification of tattoos, and sentiment analysis.

Covid pred IA

Training a machine learning model using clinical data to predict whether a sample is positive or negative for COVID-19.

Dent-AI

Integration of a machine learning model with a web page to predict dental pain.