Ibrahem Mahmoud

Key Skills

Software

AWS SageMaker

Appen

Data Annotation Tech

Labelbox

Label Studio

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Data Collection

Segmentation

Translation Localization

Freelancer Overview

I have extensive hands-on experience in data labeling and AI training data pipelines, having worked across multiple platforms including Label Studio, Labelbox, Outlier, and Ultralytics. My work spans a wide range of computer vision projects involving object detection, image classification, and segmentation, where I contributed to building high-quality annotated datasets that power machine learning models. I’ve handled diverse data types, applied consistent labeling standards, and ensured data integrity for training and validation phases. What sets me apart is my adaptability across different tools and workflows, my strong attention to detail in annotation accuracy, and my understanding of how data quality directly impacts model performance. I’ve collaborated on projects that required to be advanced labeling techniques, managing complex classes, handling edge cases, and optimizing annotation speed without sacrificing precision. This blend of technical proficiency and quality-focused execution makes me a valuable contributor in AI data preparation.

Labeling Experience

Data labeling for maxi cola

Label StudioImageBounding Box

An autonomous water surface cleaning robot that collect waste form sea

An autonomous water surface cleaning robot that collect waste form sea

2024 - 2025

Education

Work History