Rim Mtibaa
AI Engineer
Salaire / Taux journalier
Tunis, Tunisie
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
I am a curious and driven engineer passionate about the entire data journey, from deep analysis and complex transformations to building something entirely new and impactful from data. My greatest strength is the ability to quickly master new technologies and adapt to fast-paced environments. Whether I am building technical pipelines or mentoring others, I focus on clear communication and constant improvement. I am eager to apply my expertise while continuing to learn and grow alongside industry experts.
Expérience de travail
AI Engineer Intern (End of Studies)
Airbus Operations
févr. 2025 - août 2025
7 mois
– Architected an end-to-end AI POC for automated aircraft engineering drawing verification, integrating Deep Learning (Computer Vision), OCR, and NLP pipelines. – Automated engineering plan anomaly reporting, achieving a 67.92% accuracy rate in verification. – Built Polars/PySpark pipelines to accelerate large-scale SAP data processing and integration. – Developed interactive dashboards using Contour and Workshop (Palantir Foundry) to streamline production oversight.
Deep Learning Intern
Digital Research Center of Sfax
juin 2024 - août 2024
3 mois
– Extracted ECG features using wavelet decomposition and NumPy to boost model signal quality. – Optimized diffusion models in PyTorch and improved contour detection with scikit-image.
Robotics Instructor
Play Mind Science and Robotics Club
sept. 2022 - juin 2024
1 an 10 mois
– Led robotics workshops, teaching programming, algorithms, and hands-on problem-solving to student groups.
Artificial Intelligence Instructor
GOMYCODE
août 2023 - oct. 2023
3 mois
– Developed and delivered AI curricula, mentoring students in preprocessing, visualization, and technical fundamentals.
Data Science Intern
Tunisie Telecom
juin 2023 - août 2023
3 mois
– Analyzed high volume telecom datasets using SQL and Pandas to isolate key behavioral indicators of customer churn. – Optimized scikit-learn models to identify high-risk segments, providing actionable insights for data-driven retention.
Formation
INSAT
National Engineering Diploma, Intelligent Systems
2020 - 2025
5 ans 2 mois
– Specialization: Data Science – Graduated with High Honors
Licences et certifications
Data Science BootCamp - Deep Learning Mastery OCR in Python
Délivré le : –