Habib Ellouze

Prompt Engineering (Vanderbilt university)

AI safety (Macquarie university)

specializing in securing AI integration within the healthcare sector.

Medical AI cannot simply be "high-performing"; it must be clinically safe. I serve as a Subject Matter Expert (SME) to audit, test, and align Large Language Models (LLMs) against the complex realities of clinical practice.

Clinical Red Teaming: Identifying critical vulnerabilities such as "Persona Adoption Attacks" and safety guardrail bypasses involving non-standard pharmacopeia or regional substances.

SME Audit & RLHF: Evaluating medical accuracy, clinical reasoning, and ethical safety for model fine-tuning (Reinforcement Learning from Human Feedback).

My dual background in surgery and prompt engineering allows me to detect "blind spots" that are often invisible to non-clinicians—such as regional forensic risks or subtle medical-legal implications. I am dedicated to building "Trustworthy AI" that meets the most stringent safety standards in the industry.

Heathtech

Generative AI & LLM Alignment

Clinical Risk Assessment

AI Ethics & Safety Auditing