AI and Machine Learning Specialist with over 10 years of expertise in prompt engineering, adversarial testing, and red-teaming for AI safety and alignment. Demonstrated success in designing high-quality, culturally adapted training data and optimizing AI model performance for global NLP projects. Proficient in Reinforcement Learning from Human Feedback (RLHF), advanced data annotation, and model evaluation, enhancing instruction-following, alignment, and safety of large language models. Adept at collaborating with cross-functional teams to deliver impactful solutions that strengthen AI reliability, user trust, and global applicability.
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