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Abdulrahman Elsadiq

Abdulrahman Elsadiq

Experienced AI Engineer

Egypt flagHihya, Ash sharkia , Egypt
$15.00/hrIntermediateAppenScale AI

Key Skills

Software

AppenAppen
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Bounding Box
Classification
Computer Programming Coding

Freelancer Overview

I have a solid foundation in data labeling and AI training data, developed through hands-on experience in research and practical machine learning projects. As a Research Intern, I curated datasets and built complete ML pipelines for Spiking Neural Networks targeting autonomous vehicle applications. This involved meticulous dataset preparation, preprocessing, and annotation to ensure robust model performance. My work also extended into deploying models on FPGA platforms, requiring accurate conversion and formatting of training data for hardware acceleration. Additionally, I worked with various deep learning models (ANNs, CNNs, RNNs, LSTMs) and NLP tasks during a Generative AI internship. This involved training and validating models on custom-labeled datasets, including medical image data, where I built a CNN-based diagnostic system. I bring strong skills in Python, TensorFlow, PyTorch, and data processing libraries such as Pandas and OpenCV—tools essential for managing and preparing high-quality AI training data

IntermediateArabicEnglish

Labeling Experience

Scale AI

Math llm

Scale AITextText Generation
This project focused on evaluating the performance of large language models (LLMs) in solving complex mathematical problems. Tasks included annotating model outputs, rating solution accuracy and clarity, classifying problem types, and generating high-quality mathematical questions and answers. The goal was to fine-tune and benchmark LLM capabilities in advanced mathematics, including algebra, calculus, and symbolic reasoning.

This project focused on evaluating the performance of large language models (LLMs) in solving complex mathematical problems. Tasks included annotating model outputs, rating solution accuracy and clarity, classifying problem types, and generating high-quality mathematical questions and answers. The goal was to fine-tune and benchmark LLM capabilities in advanced mathematics, including algebra, calculus, and symbolic reasoning.

2024 - 2025

Education

Z

Zagazig University

Bachelor of Science, Electronics And Communication Engineering

Bachelor of Science
2020 - 2025

Work History

P

Prof. Lobna A. Said, Research Team

Research Intern

Remote
2023 - Present
I

ITI

Digital IC Design Intern

Smart Village
2024 - 2024