Youssef T.

Key Skills

Software

CVAT

Labelbox

SuperAnnotate

Top Subject Matter

Healthcare

Sports

E-Commerce

Top Data Types

Computer Code Programming

Top Task Types

Bounding Box

Segmentation

Classification

Object Detection

Freelancer Overview

I have hands-on experience working with AI training data through machine learning and computer vision projects. In several academic and practical projects, I was responsible for preparing and labeling datasets, ensuring data quality, and structuring data pipelines for model training. For example, while working on medical imaging classification tasks, I handled MRI datasets, performed preprocessing, organized labeled data for tumor classification, and verified class balance to avoid bias or data leakage. This process involved cleaning data, validating annotations, and ensuring that training, validation, and test sets were correctly separated to maintain reliable model evaluation. My background in AI and computer science also gives me a strong understanding of how labeled data affects model performance. I have experience using Python, data analysis libraries, and machine learning frameworks to inspect datasets, extract features, and evaluate model outputs. I pay close attention to accuracy, consistency, and edge cases in labeling, which helps improve the quality of training data. My combination of technical knowledge, attention to detail, and experience with real-world AI datasets allows me to contribute effectively to AI training data and data labeling projects.

Education

Work History