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Multilingual AI content creator and former enterprise sales professional with native Arabic, fluent French, and fluent English (lived and studied in the USA). I bring seven years at Dell Technologies in client-facing roles, plus hands-on experience producing AI-generated content and building automation workflows using tools like ChatGPT, Claude, ElevenLabs, HeyGen, and n8n. I have evaluated and refined AI outputs for quality, tone, and language naturalness across English, French, and Arabic, with a sharp eye for clarity, accuracy, and cultural nuance. Reliable, detail-oriented, and comfortable following structured guidelines to deliver consistent, high-quality work on schedule.
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Evaluation/RatingBuilt automated AI workflows using n8n and large language models, evaluating and correcting model outputs at each step to ensure accuracy and reliability. Tested prompts, ranked responses by quality, and refined instructions so the system produced consistent, correct results. Applied structured review criteria to catch errors in tone, formatting, and factual accuracy before outputs were used.
VideoEvaluation/RatingCreated and evaluated AI-generated images and video using tools such as HeyGen, Midjourney, and video generation models. Reviewed outputs for visual accuracy, prompt alignment, composition, and realism, then refined prompts and settings to improve quality. Compared multiple generations to select the strongest result and flagged issues such as artifacts, distortions, or inconsistencies to ensure clean, usable visual content.
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TranscriptionProduced and evaluated AI-generated voice and audio content across English, French, and Arabic. Reviewed outputs for pronunciation, tone, pacing, and natural delivery, then corrected scripts and adjusted generation settings to improve quality. Compared multiple voice outputs to select the most natural option and documented feedback to keep results consistent across a project.
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RLHFEvaluated and refined AI-generated content across text, voice, and video in English, French, and Arabic. Reviewed model outputs for fluency, tone, accuracy, and cultural naturalness, then rewrote or re-ranked them and adjusted prompts to improve quality. Compared multiple AI responses to select the most natural and correct option, and documented clear feedback so outputs stayed consistent. Applied the same evaluation process inside automated AI workflows, checking and correcting model results at each step to maintain high quality and reliability.
