Fady Mahrous

Key Skills

Software

Appen

Clickworker

OneForma

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Translation Localization

Freelancer Overview

As a dedicated and ambitious computer science student at Elsewedy University of Technology, I am passionate about leveraging technology to solve real-world problems. My academic journey has equipped me with a solid foundation in both theoretical and practical aspects of computer science, allowing me to develop strong problem-solving and analytical skills. I have a keen interest in front-end web development, where I can combine my technical expertise with creativity to build intuitive and engaging user interfaces. My goal is to create seamless, responsive, and visually appealing web applications that enhance user experience. I am constantly learning and exploring modern web technologies, including HTML, CSS, JavaScript, and frameworks like React, to stay ahead in this dynamic field. I am eager to apply my skills in a professional setting, contribute to impactful projects, and grow as a front-end developer. I am open to opportunities that allow me to collaborate with talented teams, refine my expertise, and make a meaningful impact through innovative web solutions.

Labeling Experience

Hopper V2

Scale AIComputer Code ProgrammingTranslation LocalizationRLHF

Hopper v2 is a system that automatically generates categorized coding problems in three difficulty levels: Easy, Medium, and Hard. It focuses on real-world programming skills such as code generation, problem analysis, data structures, and algorithms. The project ensures: Clear, well-structured problems solvable in ~30 minutes. Difficulty and topic-based filtering. Region-specific standards (e.g., UAE format). No duplication from platforms like LeetCode. It uses prompt engineering and LLMs to produce diverse and high-quality problem sets.

Hopper v2 is a system that automatically generates categorized coding problems in three difficulty levels: Easy, Medium, and Hard. It focuses on real-world programming skills such as code generation, problem analysis, data structures, and algorithms. The project ensures: Clear, well-structured problems solvable in ~30 minutes. Difficulty and topic-based filtering. Region-specific standards (e.g., UAE format). No duplication from platforms like LeetCode. It uses prompt engineering and LLMs to produce diverse and high-quality problem sets.

2024 - 2024

Education

Work History