Ahmed Essam

Evaluated AI-generated medical responses for clinical accuracy, reasoning quality, and adherence to evidence-based standards. Provided structured expert feedback, reviewed step-by-step problem-solving for methodological errors, and compared/ranked multiple model outputs to improve training data for large-scale medical AI.

Train and evaluate large language models using RLHF-based annotation and comparative response ranking. Design test prompts, build structured evaluation rubrics, detect hallucinations and policy violations, and support iterative model refinement across multimodal and Arabic–English technical translation quality checks.

Assess LLM outputs for linguistic quality, factual grounding, and contextual alignment, and stress-test models with adversarial edge-case prompts. Calibrate multi-axis grading frameworks and support fine-tuning cycles to improve reliability and safety.

Designed and delivered biochemistry courses for medical students by simplifying complex metabolic and molecular pathways into high-retention lectures. Produced audiovisual materials and exam-focused summaries, and built a recurring student base through referrals and targeted marketing.

Created and monetized medical education products and revision systems while managing sales funnels, pricing models, and student acquisition strategies. Balanced business operations with full-time medical education.

Pursuing a Bachelor of Medicine and Bachelor of Surgery (MBBS) at the Faculty of Medicine, Beni-Suef University, with expected graduation in 2028.