Wael Slimi
@waelslimi
AI-focused software engineering student building machine learning systems for anomaly detection, predictive maintenance, and scalable platforms.
What I'm looking for
I’m an AI-focused Software Engineering student with hands-on experience building machine learning systems, back-end platforms, and predictive models. During my AI Developer Intern role at Marabout Technology, I built an AI-powered predictive maintenance system for industrial machines.
I developed ML models in Python for real-time anomaly detection, improving accuracy through data preprocessing and tuning. I also designed the system for early failure prediction and continuous monitoring.
My projects reflect my interests in AI, healthtech, and scalable systems: SecretHunter (an AI secret scanner using 175+ patterns with OpenAI and Ollama), DocBook (a medical management platform with role-based security), and a Neurology variant pipeline (Nextflow, Docker). I’ve also built a machine failure prediction system and an AI disease diagnosis tool achieving 94.7% accuracy with Scikit-learn.
Experience
Work history, roles, and key accomplishments
AI Developer Intern
Marabout Technology
Feb 2025 - May 2025 (3 months)
Built an AI-powered predictive maintenance system for industrial machines, enabling real-time anomaly detection and early failure prediction. Improved detection accuracy through data preprocessing and model tuning, and designed monitoring for ongoing machine health.
Education
Degrees, certifications, and relevant coursework
ESPRIT
Bachelor of Engineering (B.Eng.), Software Engineering
B.Eng. in Software Engineering at ESPRIT, expected completion in June 2027.
Faculty of Sciences of Monastir
2022 - 2025
Studied at the Faculty of Sciences of Monastir from 2022 to 2025.
Availability
Location
Authorized to work in
Job categories
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