Mahmoud Elbarbary

Key Skills

Software

CVAT

LabelImg

Label Studio

Labelbox

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Segmentation

Freelancer Overview

I have hands-on experience in data labeling and AI training tasks across various data types, including text, image, and audio. My work has involved tasks such as sentiment annotation, named entity recognition, text classification, product categorization, and bounding box labeling.

Labeling Experience

Video Transcription Annotation

Label StudioVideoSegmentationClassification

Accurately transcribed spoken content from video and audio sources, maintaining high attention to detail. Annotated data with speaker labels, time-stamps, and contextual cues such as emotions and pauses. Experienced in both verbatim and cleaned transcription styles. Familiar with quality assurance standards and annotation tools such as [insert tools if you’ve used any – e.g., Halo, Subtitle Edit, Express Scribe].

Accurately transcribed spoken content from video and audio sources, maintaining high attention to detail. Annotated data with speaker labels, time-stamps, and contextual cues such as emotions and pauses. Experienced in both verbatim and cleaned transcription styles. Familiar with quality assurance standards and annotation tools such as [insert tools if you’ve used any – e.g., Halo, Subtitle Edit, Express Scribe].

2024 - 2024

Arabic Audio Annotation for Speech Recognition Model

AppenAudioTranslation LocalizationAudio Recording

Contributed to a large-scale Arabic speech recognition project by accurately labeling and segmenting audio files in various dialects. The project aimed to train a voice-to-text AI model to understand and transcribe Arabic with high accuracy.

Contributed to a large-scale Arabic speech recognition project by accurately labeling and segmenting audio files in various dialects. The project aimed to train a voice-to-text AI model to understand and transcribe Arabic with high accuracy.

2024 - 2024

Medical Imaging Labeling for AI Model Training

CVATTextSegmentation

Annotated 50,000 medical images for disease detection using bounding boxes and classification. Applied double annotation for accuracy and conducted weekly quality audits.

Annotated 50,000 medical images for disease detection using bounding boxes and classification. Applied double annotation for accuracy and conducted weekly quality audits.

2024 - 2024

AI Data Labeling for E-commerce Product Categorization

LabelboxImageBounding BoxEntity Ner Classification

This project involved labeling images and product descriptions for an e-commerce platform. I was responsible for annotating product images with bounding boxes to identify key features such as logos, product types, and packaging. Additionally, I performed text classification and named entity recognition on product descriptions to categorize them into relevant categories.

This project involved labeling images and product descriptions for an e-commerce platform. I was responsible for annotating product images with bounding boxes to identify key features such as logos, product types, and packaging. Additionally, I performed text classification and named entity recognition on product descriptions to categorize them into relevant categories.

2024 - 2024

Education

Work History