Mostafa Elborhamy

Key Skills

Software

Scale AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Audio Recording

Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

RLHF

Segmentation

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an enthusiastic AI and Data Engineer with hands-on experience in training, evaluating, and improving AI and large language models through over 1,500+ data labeling and annotation tasks. My background includes designing prompts, reviewing AI outputs, and applying data validation techniques to ensure high-quality, accurate results. I am skilled in Python, SQL, and cloud platforms like Microsoft Azure, and have worked on real-world projects in computer vision and natural language processing, such as fine-tuning AraBERT for sentiment analysis and building monitoring systems using Azure Data Lake and Synapse. My expertise spans data engineering, ETL workflows, and machine learning, and I am passionate about transforming raw data into actionable insights to drive continuous AI model improvement.

Labeling Experience

Data labeling specialist

Scale AIAudioText Generation

Trained, evaluated, and improved AI and large language models by completing and reviewing 1,500+ AI training and evaluation tasks, identifying failure cases, and providing high-quality feedback. Designed and refined prompts to enhance model reasoning, accuracy, and response quality across diverse AI tasks. Applied data analysis and validation techniques to assess model performance and ensure alignment with project requirements. Collaborated on AI evaluation workflows, contributing to continuous model improvement and quality assurance.

Trained, evaluated, and improved AI and large language models by completing and reviewing 1,500+ AI training and evaluation tasks, identifying failure cases, and providing high-quality feedback. Designed and refined prompts to enhance model reasoning, accuracy, and response quality across diverse AI tasks. Applied data analysis and validation techniques to assess model performance and ensure alignment with project requirements. Collaborated on AI evaluation workflows, contributing to continuous model improvement and quality assurance.

2024

Education

Work History