Imad Baraka

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Task Types

Mapping

Freelancer Overview

I have hands-on experience working with complex data systems in the financial technology sector, where accuracy and reliability are crucial. My background includes validating and testing applications, analyzing transaction logs, and managing large-scale payment data with a focus on quality and consistency. I am skilled in MySQL for data management, log analysis, and incident resolution, which has honed my attention to detail—an essential trait for data labeling and annotation tasks. I am comfortable using monitoring tools like Centreon and have experience preparing detailed reports, verifying data integrity, and handling sensitive information. My passion for technology and problem-solving drives me to ensure high standards in every project, making me eager to contribute to AI training data initiatives that demand precision and thoroughness.

Labeling Experience

Geospatial Image Mapping for Urban Navigation Systems

CVATImageMapping

Led a data labeling project involving the annotation of high-resolution satellite and aerial images for mapping urban environments. Tasks included precise mapping of road networks, landmarks, and obstacles using bounding boxes and polylines to create accurate geospatial datasets. Handled a dataset of over 50,000 images, ensuring high accuracy (95%+ IoU) through iterative quality checks and collaboration with domain experts. The project supported AI models for autonomous vehicle navigation and route optimization, adhering to industry standards for data privacy and precision

Led a data labeling project involving the annotation of high-resolution satellite and aerial images for mapping urban environments. Tasks included precise mapping of road networks, landmarks, and obstacles using bounding boxes and polylines to create accurate geospatial datasets. Handled a dataset of over 50,000 images, ensuring high accuracy (95%+ IoU) through iterative quality checks and collaboration with domain experts. The project supported AI models for autonomous vehicle navigation and route optimization, adhering to industry standards for data privacy and precision

2022 - 2023

Education

Work History