Moh Amd

Medical Doctor and specialized AI Data Annotator with a focus on RLHF (Reinforcement Learning from Human Feedback). Expert in medical alignment, hallucination mitigation, and adversarial prompting. C1 Advanced English proficiency combined with native Egyptian Arabic expertise. Proven ability to evaluate complex LLM outputs for high-stakes domains including medicine, logic, and coding.

Senior AI Content Evaluator at Outlier Aether & Cypher eval Projects (2024-01 – Present)

• High-Complexity RLHF: Execute multi-turn reasoning tasks for Large Language Models (LLMs), focusing on coding proficiency and factual precision.
• SXS Evaluation: Perform comparative analysis of model outputs using the HHH (Helpfulness, Honesty, Harmlessness) framework.
• Prompt Engineering: Author complex, adversarial "edge-case" prompts to test model boundaries in logic, mathematics, and ethics.
• Medical Hallucination Mitigation: Leverage clinical background to identify and correct subtle medical misinformation, ensuring high-fidelity outputs for healthcare-related queries.
• Technical Justification: Draft detailed analytical reports in English (C1 level) justifying model rankings and articulating nuances in tone and formatting.

Medical Professional at Fayyoum University Hospitals (2026-01)

• Managed clinical cases and healthcare protocols within a high-volume academic hospital setting.
• Conducted clinical research and applied advanced medical terminology to patient records and reports.
• Bridged the gap between complex medical data and patient communication.

Bachelor of Medicine and Surgery in Medicine – Faculty of Medicine, Fayyoum University (2026-01)