Moomen Khasawneh

Results-driven Arabic AI Quality Control Specialist and Language Evaluator with 1.5+ years of experience in AI data annotation, RLHF, prompt engineering, and Arabic language quality assurance at Aqlama. Specialized in evaluating and refining AI-generated content across multiple Arabic dialects, with a strong focus on Levantine Arabic. Experienced in bilingual English-to-Arabic translation evaluation, linguistic error analysis, cultural alignment, and safety-focused LLM assessment.

Arabic Language AI Trainer & Quality Control Specialist - Aqlama

(2025-01)

• Conduct linguistic evaluation and quality control for advanced AI/LLM models across multiple Arabic dialects, with a primary focus on Levantine Arabic.
• Review and score English-to-Arabic translations for accuracy, fluency, grammar, cultural relevance, and localization quality.
• Write and refine prompts and target responses to improve AI model behavior and output quality.
• Identify, categorize, and document linguistic errors and culturally sensitive content.
• Collaborate on localization, annotation, and NLU projects.

Freelance Web Developer & Data Analyst - Self-Employed

(2025-08)

• Developed full-stack web applications using Laravel and React.
• Built Power BI dashboards using DAX.
• Explored AI applications including RAG systems and autonomous AI agents.

Civil Engineer (Project Management & Infrastructure) - Various Projects

(2021-09 - 2025-08)

• Managed project execution, quality control, and compliance for housing and infrastructure projects.
• Applied analytical problem-solving and risk management methodologies.

Bachelor's Degree - Civil Engineering - Yarmouk University

Certification - Advanced Data Analysis & AI Technologies (Power BI, SQL, Python, LangChain, RAG Systems)

Diploma - Culinary Arts - Culinary Academy