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Mahdi Benamor

Mahdi Benamor

Expert in AI computer vision data labeling for self-driving vehicles

Italy flagmessina, Italy
$10.00/hrEntry LevelOpencv AI Kit OakRoboflowOther

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RoboflowRoboflow
Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor
Computer Code ProgrammingComputer Code Programming
VideoVideo

Top Task Types

Classification
Computer Programming Coding
Data Collection
Land Cover Classification
Mapping

Freelancer Overview

As a data science student specializing in AI and machine learning, I have strong experience in data preparation, annotation, and preprocessing for ML and computer vision projects. I have worked with datasets involving image labeling, data cleaning, class balancing, and augmentation to ensure high-quality training data. My technical experience includes Python, NumPy, Pandas, OpenCV, and AI frameworks such as PyTorch and TensorFlow, with a focus on supervised learning and classification tasks. One of my key projects involves autonomous navigation using SLAM in complex environments, where I integrated machine learning-based classification and object detection models to enhance perception and decision-making. I have worked with YOLO-based detection pipelines and custom annotation workflows to train accurate computer vision models. This hands-on experience has strengthened my understanding of the complete AI data lifecycle — from collection and labeling to model evaluation — ensuring reliable, high-performance results. Languages: Fluent English (B2), Fluent French (C1).

Entry LevelArabicFrenchEnglish

Labeling Experience

slam navigation

OtherVideoClassification
One of my key projects involves autonomous navigation using SLAM in complex environments, where I integrated machine learning-based classification and object detection models to enhance perception and decision-making. I have worked with YOLO-based detection pipelines and custom annotation workflows to train accurate computer vision models.

One of my key projects involves autonomous navigation using SLAM in complex environments, where I integrated machine learning-based classification and object detection models to enhance perception and decision-making. I have worked with YOLO-based detection pipelines and custom annotation workflows to train accurate computer vision models.

2025 - 2025

Education

F

Faculty of Sciences of Monastir

Bachelor, Software Engineering

Bachelor
2022 - 2025
L

Lycée ROUTE TABARKA

Baccalaureate, Sciences

Baccalaureate
2021 - 2021

Work History

A

Avionav

Machine Learning Intern

Sousse
2025 - Present
H

HRMaps

Software Development Intern

Tunis
2024 - 2024