- 🎓 Graduated with a Master’s in ICT Internet & Multimedia Engineering at the University of Padua, Italy.
- 💡 Passionate about Machine Learning, Computer Vision, NLP, Remote Sensing, and Big Data Analytics.
- 🌍 Experienced across academia, research, and industry — from semiconductor manufacturing optimization to VR user identification and satellite-based crop health assessment.
- 🏆 Multiple-time hackathon & competition winner, with research published at IEEE VR and European Automotive Reliability Workshops (eARTS).
- 🌱 Always seeking to connect data-driven insights with real-world impact.
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Machine Learning Engineer, R&D — Saturnalia (2025–Present)
Crop damage detection via satellite imagery → Automated agricultural monitoring.
Keywords: Computer Vision · Remote Sensing · Geospatial Analysis -
Master Thesis Intern — Infineon Technologies (2023–2025)
Built an image clustering + anomaly detection pipeline reducing analysis time, automated reporting workflows, authored a Python library for production data.
Keywords: Unsupervised Learning · Dimensionality Reduction · Workflow Automation -
Research Trainee — University of Padua (2023–2024)
Predicted users from VR headset motion & traffic data with 95% accuracy.
Keywords: Supervised Learning · Data Preprocessing · Feature Engineering -
Data Scientist Intern — PROROB SRL (2023)
Predictive KPI analysis → reduced downtime by 10%.
Keywords: Time Series Forecasting · Anomaly Detection -
ML Engineer Intern — PIxemantic (2022)
Automated OCR pipeline for financial statements.
Keywords: TensorFlow · OpenCV · PaddleOCR -
Software Developer Intern — eDonec (2021–2022)
Built and tested an eCommerce website with React, Redux, MongoDB, NodeJS.
- Automated Semiconductor Test Data Analysis Using a Hybrid Deep Learning Pipeline — eARTS 2025
- Optimization of Test Insertions in Semiconductor Manufacturing Using Reinforcement Learning — eARTS 2025
- Movement- and Traffic-based User Identification in VR Applications — IEEE VR 2025
- 🥇 Best Inclusion Project — FastwebAI Hackathon (Fastweb + Vodafone, 2025)
- 🥈 2nd place — AI Meets Medicine, Elty DaVinci Healthcare (2025)
- 🌍 Ranked Top 20 worldwide in Microsoft Learn & AirQo Challenges (2024)
- 🥈 2nd prize — AI Hackathon 3.0 (2022) | ML Olympiad — Preserving North African Culture (2022)
- 🥇 DevFest21 Winner — Google Developer Groups Carthage (2021)
- 🥉 Blockchain Hackathon — Decentralize Impact & Dar Blockchain (2022)
- Programming: Python · JavaScript · C/C++
- Databases: MySQL · SQL Server · Firebase · MongoDB
- Data Tools: TensorFlow · PyTorch · Keras · Scikit-Learn · Pandas · NumPy · Matplotlib · Seaborn
- ML Expertise: Supervised & Unsupervised Learning · Deep Learning (CNN, RNN, Transformers) · NLP & LLMs · Reinforcement Learning · Optimization
- Soft Skills: Communication · Problem Solving · Teamwork · Attention to Detail
- 🇹🇳 Arabic — Native
- 🇬🇧 English — Full professional proficiency (TOEFL)
- 🇫🇷 French — Limited working proficiency
- 🎥 Anime & Movies lover
- 📸 Amateur Photographer
- 😄 Believer in Chaos Theory: within randomness lies hidden order