Muhammad E.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Pediatrics Domain Expertise

Neonatology Domain Expertise

clinical pharmacology

Top Data Types

Text

Top Task Types

RLHF

Freelancer Overview

AI Content Expert & Medical SME. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech. Education includes Master of Science, Cairo University, Faculty of Medicine (Kasr Al-Ainy) (2026) and Bachelor of Medicine and Surgery, Al-Azhar University, Faculty of Medicine (2020). AI-training focus includes data types such as Text and labeling workflows including RLHF.

Labeling Experience

AI Content Expert & Medical SME

Data Annotation TechTextRLHF

Served as an AI Content Expert and Medical SME performing RLHF-oriented medical content work for pediatric and neonatal use cases. Reviewed AI-generated pediatric/neonatal material for clinical correctness, auditing outputs against global clinical protocols while mitigating hallucinations. Built and used adversarial, multi-layered pharmacological and diagnostic prompt sets to stress-test LLM reasoning and diagnostic accuracy.• Completed 50+ RLHF tasks with consistently high accuracy ratings.• Produced/verified medical-grade Arabic–English outputs aligned to international clinical terminology.• Conducted MSA verification and Arabic morphological QA (Nahw/Sarf) for medical localization.• Stress-tested diagnostic and pharmacology reasoning via adversarial prompting.

2026 - Present

Education

Work History