Muhammed Abdelghany

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Classification

Diagnosis

Freelancer Overview

I have a strong background in backend and full-stack development, with hands-on experience building secure, data-driven applications using Java, Spring Boot, MySQL, and Oracle. My work has involved designing and managing relational databases, implementing authentication and authorization, and ensuring data integrity and consistency across multiple projects, including e-commerce and healthcare domains. I am skilled in RESTful API development, data modeling, and integrating complex data flows between backend and frontend systems. My attention to clean code principles and best practices ensures high-quality, well-structured data pipelines—skills that translate well to data labeling, annotation, and AI training data roles. I am eager to leverage my technical expertise and keen eye for detail to contribute to high-quality datasets for AI and machine learning applications.

Labeling Experience

Ai Trainer

Scale AIComputer Code ProgrammingClassificationDiagnosis

Worked on a large-scale code annotation project aimed at improving AI models for code understanding and generation. Tasks included reviewing Python and Java code snippets, labeling code segments for functionality, syntax patterns, and error handling, and providing structured annotations for AI training datasets. Leveraged Scale AI platform to ensure high-quality and consistent labeling, contributing to enhanced model accuracy in tasks such as code completion, debugging, and automated code review. Collaborated with a team of AI trainers to maintain annotation standards and optimize labeling workflows.

Worked on a large-scale code annotation project aimed at improving AI models for code understanding and generation. Tasks included reviewing Python and Java code snippets, labeling code segments for functionality, syntax patterns, and error handling, and providing structured annotations for AI training datasets. Leveraged Scale AI platform to ensure high-quality and consistent labeling, contributing to enhanced model accuracy in tasks such as code completion, debugging, and automated code review. Collaborated with a team of AI trainers to maintain annotation standards and optimize labeling workflows.

2023 - 2025

Education

Work History