Badr nawar

I’m an AI Quality Analyst and Team Lead who combines a Clinical Medicine foundation with advanced Computer Science skills. I train, evaluate, and refine generative AI models across NLP, ASR, and TTS to improve accuracy, safety, and cross-cultural localization.

In my current role, I lead and manage an Arabic rating team of more than 70 raters, ensuring high-quality annotations and alignment with project goals. I also conduct quality assurance on peer annotations and evaluate AI outputs for factual accuracy, user localization, relevance, credibility, and safety.

I bring deep expertise in advanced data annotation, audio evaluation, multilingual translation, prompt engineering, and LLM evaluation (including RLHF-related workflows). Alongside applied AI quality work, I run independent academic Systematic Reviews and Meta-Analyses, using that research rigor to strengthen AI factuality and consistency across cutting-edge multimodal projects.