Yousef Elaqqad

Key Skills

Software

Data Annotation Tech

CVAT

Labelbox

Google Cloud Vertex AI

Label Studio

OpenCV AI Kit (OAK)

Mindrift

Top Subject Matter

Healthcare – Medical Imaging & Computer Vision

Robotic – Medical Devices & Sensor Data

Computer Vision & Optical Character Recognition

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Classification

Segmentation

Object Detection

Fine Tuning

Text Summarization

Cuboid

Evaluation Rating

Computer Programming Coding

Text Generation

Freelancer Overview

As an AI Engineer specializing in Computer Vision and Deep Learning, my experience spans the entire model development pipeline, including the rigorous curation, processing, and evaluation of AI training data. Through my academic and practical work at Benha University, I have developed a strong foundation in handling complex visual data for both software and hardware applications. What sets me apart from standard annotators is my engineering background; I don't just process data, I understand exactly why specific annotations, edge cases, and data quality metrics matter for model architecture and system performance. My hands-on experience includes building end-to-end AI systems, from robotic hardware integration to advanced text-recognition software. Because my focus is often on building tools designed to be safe and user-centric for patients, I am highly meticulous about model alignment, red-teaming, and ensuring that training data translates to reliable, real-world accuracy. Education includes Bachelor of Science, Benha University.

Labeling Experience

Education

Work History