For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
D
Duha H.

Duha H.

Competitive Programmer & Contestant — Codeforces & ECPC (Egyptian Collegiate Programming Contest)

Egypt flagPort Said, Egypt

Key Skills

Software

Don't disclose

Top Subject Matter

Computer Science algorithms and code correctness evaluation
Graphic/UI design
Ideation Domain Expertise

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Competitive Programmer & Contestant — Codeforces & ECPC (Egyptian Collegiate Programming Contest). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Canva. Education includes Bachelor of Computer Science, Suez Canal University (2027). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

UI/UX & Graphic Design Trainee — TROSC SCU & CREATIVA I-Hub Portsaid

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Completed a UI/UX & Graphic Design trainee program that included structured content and ideation exercises. While not explicitly an AI labeling role, the described ideation and analytical evaluation correspond to structured prompt-like creation and quality checking behaviors. This can translate to training workflows that require careful composition and evaluation of outputs. • Mastered fundamental visual theory and formatting • Participated in ideation/structure-focused training • Applied user-centric structure and critical thinking • Performed analytical evaluation of design concepts

2025 - Present

Competitive Programmer & Contestant — Codeforces & ECPC (Egyptian Collegiate Programming Contest)

Don't disclose

Participated as a competitive programmer and contestant, applying systematic evaluation of code logic and edge cases similar to model/code response assessment. Focused on verifying correctness by tracing execution paths and detecting hidden logical flaws. These activities align with AI training–style evaluation and error detection workflows for code or prompt outputs. • Analyzed complex algorithmic problems under time constraints • Evaluated time and space complexity of solutions • Traced code execution to find edge cases and logical errors • Corrected flaws in complex programs via logical debugging

2025 - Present

Education

S

Suez Canal University

Bachelor of Computer Science, Computer Science

Bachelor of Computer Science
2023 - 2027

Work History

E

ECPC

Contestant (Competitive Programming)

Ismailia
2025 - Present
C

Codeforces

Competitive Programmer

Ismailia
2025 - Present