Ali Amr

Key Skills

Software

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Bounding Box

Classification

Emotion Recognition

Object Detection

Freelancer Overview

I am an AI engineer and data annotator with hands-on experience in labeling and curating high-quality training datasets for computer vision and natural language processing tasks. My work includes annotating CT and X-ray medical images for disease classification (e.g., kidney tumors, brain tumors), as well as preparing structured training data for AI chatbots in healthcare. I specialize in tasks like bounding box annotation, image segmentation, classification labeling, and intent/entity labeling in multilingual contexts (English and Arabic). I bring a unique blend of domain knowledge in healthcare and AI, enabling me to ensure data accuracy, relevance, and ethical alignment. With a strong foundation in deep learning and a focus on building real-world AI applications, I understand how critical clean, well-labeled data is for model performance. My projects have contributed to disease detection systems, medical recommendation engines, and interactive AI assistants, and I’m passionate about supporting cutting-edge AI systems with reliable and high-quality data.

Labeling Experience

Egyptian ID Verefication

RoboflowImageBounding Box

Worked on a data annotation project focused on verifying Egyptian national IDs using computer vision and OCR (Optical Character Recognition) techniques. The project involved accurately labeling and validating key fields such as National ID numbers, full name, date of birth, and expiry dates from scanned or photographed ID cards. My role included bounding box annotation around each text field, classification of document authenticity, and manual correction of OCR outputs to ensure high-quality training data for AI models.

Worked on a data annotation project focused on verifying Egyptian national IDs using computer vision and OCR (Optical Character Recognition) techniques. The project involved accurately labeling and validating key fields such as National ID numbers, full name, date of birth, and expiry dates from scanned or photographed ID cards. My role included bounding box annotation around each text field, classification of document authenticity, and manual correction of OCR outputs to ensure high-quality training data for AI models.

2025 - 2025

Education

Work History