Abdelwahab Hany

Key Skills

Software

OpenCV AI Kit (OAK)

Scale AI

Top Subject Matter

self driving cars

computer visison

satellite image classification

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Data Collection

Freelancer Overview

I have extensive experience in data labeling and AI training data management, specializing in creating high-quality, annotated datasets for machine learning applications. My expertise includes developing labeling guidelines, managing quality assurance processes, and training teams to ensure consistency and accuracy in data annotation. I have successfully led projects across various domains, including image recognition, natural language processing, and audio analysis, which has honed my ability to adapt to diverse data types and labeling requirements. Key skills that set me apart include a strong understanding of machine learning concepts, attention to detail, and proficiency in data annotation tools. I have a proven track record of collaborating with cross-functional teams to deliver projects on time while maintaining high standards of quality. My ability to implement feedback loops and quality control measures has consistently improved data accuracy and reliability, making me an asset in any data labeling initiative.

Labeling Experience

Medical image ANNOTATION

Scale AIVideoBounding BoxSegmentation

Medical Imaging Annotations: I contributed to a project that involved labeling medical images for a diagnostic AI system. This required identifying and annotating specific anomalies in X-rays and MRIs. I coordinated with healthcare professionals to ensure the accuracy of annotations, ultimately providing a robust dataset that improved diagnostic model performance.

Medical Imaging Annotations: I contributed to a project that involved labeling medical images for a diagnostic AI system. This required identifying and annotating specific anomalies in X-rays and MRIs. I coordinated with healthcare professionals to ensure the accuracy of annotations, ultimately providing a robust dataset that improved diagnostic model performance.

2023 - 2024

Education

Work History