Saifeddine BEN REJEB
Computer vision - AI Engineer at OFFROAD- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
Français Full professional proficiency
-
Anglais Full professional proficiency
-
Arabe Native or bilingual proficiency
Topline Score
Bio
Credentials
-
Introduction to Artificial Intelligence and Machine Learning
İstanbul Teknik ÜniversitesiApr, 2021- Nov, 2024 -
Practice of Large Scale Machine Learning
Télécom ParisNov, 2020- Nov, 2024 -
Convolutional Neural Networks in TensorFlow
deeplearning.aiJul, 2020- Nov, 2024 -
Applied Machine Learning in Python
CourseraApr, 2020- Nov, 2024 -
Introduction to Data Science in Python
CourseraApr, 2020- Nov, 2024 -
Deep Learning For Image Analysis
École des mines de ParisNov, 2019- Nov, 2024 -
Big Data Engineer v2 Mastery Award for Students
IBMMay, 2019- Nov, 2024 -
Undergraduate university degree in mathematics and physics with honors, rank 1/200
Institut préparatoire aux études d'ingénieurs de Monastir - IPEIMJul, 2017- Nov, 2024 -
TEOFL iBT C1 Advanced
TOEFL®Aug, 2021- Nov, 2024
Experience
-
OFFROAD
-
France
-
Construction
-
1 - 100 Employee
-
Computer vision - AI Engineer
-
Oct 2021 - Present
-
-
AI Engineer intern
-
Apr 2021 - Sep 2021
The objective is to construct and automatically update 3-dimensional plans from 3D point clouds and RGB images, by relying both on geometric characteristics and on machine learning / deep learning algorithms.
-
-
-
L'Oréal Paris - Mines Paris (Centre de Morphologie Mathématique)
-
Fontainebleau, Île-de-France, France
-
Deep Learning & image analysis intern
-
Jul 2020 - Sep 2020
Using Keras pretrained neural networks to classify grayscale images of a biological model of human skin that have been developed under different experimental conditions and discover the relationship between each experimental condition and the images. Using Keras pretrained neural networks to classify grayscale images of a biological model of human skin that have been developed under different experimental conditions and discover the relationship between each experimental condition and the images.
-
-
Education
-
MINES ParisTech
Master's Degree in Science and Executive Engineering, Control system, Robotics, Vision & Morphology (Applied mathematics) -
Tunisia Polytechnic School
Multidisciplinary engineering degree, Signals and systems -
Institut préparatoire aux études d'ingénieurs de Monastir - IPEIM
preparatory classes in mathematics and physics