Cairo University
Bachelor of Science, Computer Science
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During my tenure at Outlier, I developed substantial expertise in fine-tuning Large Language Models (LLMs) through high-quality data labeling and Reinforcement Learning from Human Feedback (RLHF). My core responsibilities involved evaluating AI-generated responses for factual accuracy, instruction following, and linguistic coherence. By meticulously auditing and rewriting complex prompts and responses, I contributed to enhancing the model's ability to handle nuanced context and logical reasoning. This role required a sharp analytical mindset to identify subtle hallucinations and ensure that the training data adhered to rigorous safety and quality guidelines. What sets my profile apart is my proficiency in Prompt Engineering and my ability to adapt to evolving technical rubrics in a fast-paced environment. I possess a strong background in cross-referencing information and verifying claims against reliable sources, which is critical for maintaining high-integrity datasets. My experience goes beyond simple classification; I excel at providing detailed, constructive feedback that helps bridge the gap between machine output and human-level reasoning. This combination of technical precision and linguistic fluency allows me to deliver high-impact results for any AI training or data curation initiative.
Youssef G. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Science, Computer Science
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