Khaled Elgamal

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Bounding Box

Polygon

Point Key Point

Segmentation

Prompt Response Writing SFT

Classification

Text Summarization

RLHF

Computer Programming Coding

Freelancer Overview

I have a strong background in computer science and artificial intelligence, with hands-on experience leading AI-driven projects and developing solutions that leverage data for automation and optimization. My work includes building a thief detection system using deep learning and computer vision for my graduation project, as well as integrating AI agents into SaaS platforms to automate process documentation and enable natural language management of roles and schemas. I am skilled in Python, JavaScript, and modern web technologies, and have worked extensively with APIs, database management, and real-time data processing. My experience spans domains such as healthcare, business process automation, and security, giving me a solid understanding of the importance of high-quality labeled data for training robust AI systems. I am detail-oriented, familiar with best practices in data annotation, and eager to contribute to projects that require precise and reliable AI training data.

Labeling Experience

Cypher Evals V2

Scale AITextClassificationText Summarization

In this project there was rating two model generated responses separately across various dimensions. Providing preference ranking scores. Write a justification for the response preference ranking and explain the specifics and logic behind your decision.

In this project there was rating two model generated responses separately across various dimensions. Providing preference ranking scores. Write a justification for the response preference ranking and explain the specifics and logic behind your decision.

2025

Aether project

Scale AIImageBounding BoxPolygon

Worked on the Aether Project, a large-scale image annotation initiative focused on training multimodal LLM systems for healthcare and software engineering applications. The project involved labeling complex visual datasets to improve object detection accuracy and contextual understanding in domain-specific environments.

Worked on the Aether Project, a large-scale image annotation initiative focused on training multimodal LLM systems for healthcare and software engineering applications. The project involved labeling complex visual datasets to improve object detection accuracy and contextual understanding in domain-specific environments.

2025

Education

Work History