Profile
Professional Summary
Aspiring Machine Learning Engineer with experience in AI-powered systems and model development. Former GDSC Lead and current mentor at SUP'COM. Strong in TensorFlow, Keras, and PyTorch. Built an automated candidate matching system and invoice verification models. Passionate about driving AI innovation.
My work focuses on bridging the gap between theoretical machine learning concepts and practical, real-world applications that solve meaningful problems.
When not engaged in technical pursuits, I enjoy mentoring students, participating in hackathons, and contributing to open-source AI projects.
Key Attributes
- Machine Learning & AI
- Generative AI Systems
- Full-stack ML Solutions
- Technical Leadership
- Innovation & Problem Solving
Current Focus
"Developing medical AI systems that integrate RAG with Knowledge Graphs and RLHF to provide accurate health recommendations"
Education
ICT Engineer's degree
Higher School of Communication (SUP'COM)
2022-2024
- Principal coursework: Probability, Statistical inference, Algorithmic Foundations of Optimization, Cloud, Big Data, Data science, Artificial intelligence
Degree in Physics and Chemistry
Preparatory Institute For Engineering Studies of Tunis (IPEIT)
2020-2022
- Ranked 70/1400 in the national entrance exam for engineering schools
Professional Experience
AI Intern
Omicrone
Tunis, Tunisia • 07/2024 - 09/2024
- Built an automated AI-Powered Candidate Matching System that extracts key details from resumes
- Generated detailed reports with matching scores and ranked candidates based on job suitability
- Created automated emails for top candidates to streamline recruitment process
Machine Learning Engineer Intern
IEEE Tunisia Section
Tunis, Tunisia • 07/2023 - 09/2023
- Developed machine learning models for automated invoice verification by analyzing date, stamp, and signature data
- Designed a data entry system to streamline processing and improve efficiency
- Used anomaly detection techniques to identify and mitigate fraud risks in financial documents
Notable Projects
Medical Chatbot with RAG, KG and RLHF
LangChain, LLMs, GenAI • Academic • 09/2024-01/2025
Developing a medical chatbot that integrates Retrieval-Augmented Generation with Knowledge Graph, and Reinforcement Learning with Human Feedback to answer health-related queries and provide accurate, database-supported recommendations.
AI-Powered Candidate Matching System
LangChain, LLMs, GenAI • Internship • 08/2024
Built an automated system that extracts key details from resumes, generates detailed reports with matching scores, and ranks candidates based on job suitability. The system also creates personalized emails for top candidates.
Securing Medical Images Transfer
Encryption, Steganography • Academic • 05/2024
Ensured secure transfer of medical images and patient data through efficient deep steganography and cryptography methods, protecting sensitive healthcare information.
Kidney Classification App
Python, Tensorflow, Flask, Docker • 02/2024
An end-to-end deep learning project consisting of creating a web app for kidney disease classification, implementing MLOps concepts including Docker, MLflow, and DVC.
Technical Skills
Machine Learning & AI
Programming
Cloud & DevOps
Languages
Awards & Honors
Revolutionizing Recruitment
First Prize Project by EY
AI 4 New Generation Hackathon • 12/2024
First Prize in TSYP CS Challenge
IEEE ESSTHS Student Branch and IEEE Tunisia Section
12/2023
Ranked 6th in Open GeoAI Hack
IEEE GRSS Chapter
11/2023
Best PACTE Project in SUP'COM
07/2022