Maged Ibrahim

Key Skills

Software

Kili Technology

Supervisely

Labelbox

Top Subject Matter

Medical Claims Digitization

Medical Records Chronology

Legal Services & Contract Review

Top Data Types

Medical Dicom

Text

Document

Top Task Types

Classification

Bounding Box

Polygon

Freelancer Overview

Data Annotation Specialist | Medical Claims Digitization Officer. Brings 24+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Supervisely and Labelbox. Education includes Certified Professional in Healthcare Quality, Pioneers Academy (2022) and Bachelor of Pharmaceutical Science, Cairo University (1999). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Medical records and bills, medical chronology specialist at evenuplaw using killi technology

LabelboxTextClassification

As a Medical records and bills, medical chronology specialist, I organized and annotated patient medical data from records and bills. This work involved preparing chronological summaries of healthcare data to support legal and medical analysis. Utilized organizational skills to improve data accessibility for downstream decision-making and analytics. • Annotated and ordered medical records chronologically for case analysis. • Identified and classified key events and medical interventions within patient histories. • Collaborated with legal and medical teams for data-driven insights. • Maintained high accuracy and confidentiality standards for sensitive information.

As a Medical records and bills, medical chronology specialist, I organized and annotated patient medical data from records and bills. This work involved preparing chronological summaries of healthcare data to support legal and medical analysis. Utilized organizational skills to improve data accessibility for downstream decision-making and analytics. • Annotated and ordered medical records chronologically for case analysis. • Identified and classified key events and medical interventions within patient histories. • Collaborated with legal and medical teams for data-driven insights. • Maintained high accuracy and confidentiality standards for sensitive information.

2024 - Present

Data Annotation Specialist | Medical Claims Digitization Officer

SuperviselyTextClassification

As a Data Annotation Specialist in medical claims digitization, I labeled diverse datasets including text, images, videos, and voice using specialized annotation tools. My work involved converting paper-based medical claims data into streamlined digital formats to support AI and machine learning initiatives. Collaboration with teams ensured consistent data labeling quality and adherence to project standards. • Labeled and digitized medical claims for machine learning datasets. • Applied advanced annotation using Supervisely, CVAT, and Labelbox. • Trained junior staff on annotation best practices and quality control. • Troubleshot technical issues related to annotation tools and workflow.

As a Data Annotation Specialist in medical claims digitization, I labeled diverse datasets including text, images, videos, and voice using specialized annotation tools. My work involved converting paper-based medical claims data into streamlined digital formats to support AI and machine learning initiatives. Collaboration with teams ensured consistent data labeling quality and adherence to project standards. • Labeled and digitized medical claims for machine learning datasets. • Applied advanced annotation using Supervisely, CVAT, and Labelbox. • Trained junior staff on annotation best practices and quality control. • Troubleshot technical issues related to annotation tools and workflow.

2022 - 2024

Education

Work History