Mohamed Bassem

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

I have hands-on experience in AI data labeling and training, specializing in natural language processing (NLP) tasks, prompt engineering, and data validation. My work includes refining AI comprehension of Arabic text, ensuring linguistic accuracy, and improving model performance across various AI training platforms. Additionally, my technical background in communication engineering and mathematics allows me to handle complex datasets, including structured data, equations, and technical annotations. I have contributed to AI training projects that require precision, logical problem-solving, and an understanding of contextual nuances in data.

Labeling Experience

AI Model Evaluation & Arabic NLP Data Labeling

LabelboxTextFine TuningEvaluation Rating

Worked on evaluating AI-generated responses in Arabic, assessing linguistic accuracy, contextual understanding, and coherence. Designed and refined prompts to enhance AI performance in Arabic NLP tasks, ensuring better alignment with user expectations. Provided structured feedback and fine-tuning recommendations to improve model behavior. Focused on maintaining high-quality annotations and following strict evaluation guidelines.

Worked on evaluating AI-generated responses in Arabic, assessing linguistic accuracy, contextual understanding, and coherence. Designed and refined prompts to enhance AI performance in Arabic NLP tasks, ensuring better alignment with user expectations. Provided structured feedback and fine-tuning recommendations to improve model behavior. Focused on maintaining high-quality annotations and following strict evaluation guidelines.

2024

AI Model Evaluation – Software Engineering

Scale AIComputer Code ProgrammingFine TuningEvaluation Rating

Evaluated AI-generated software engineering responses, focusing on code correctness, API usage, and adherence to best coding practices. Identified and corrected false API usage, ensuring AI-generated code aligns with real-world API structures and documentation. Provided structured feedback to improve AI’s understanding of function calls, debugging, and optimal API interaction. Reviewed AI-generated code for efficiency, readability, and logical accuracy, helping enhance model performance in software development tasks

Evaluated AI-generated software engineering responses, focusing on code correctness, API usage, and adherence to best coding practices. Identified and corrected false API usage, ensuring AI-generated code aligns with real-world API structures and documentation. Provided structured feedback to improve AI’s understanding of function calls, debugging, and optimal API interaction. Reviewed AI-generated code for efficiency, readability, and logical accuracy, helping enhance model performance in software development tasks

2023 - 2024

Education

Work History