Mahad Ibrahim

I am a detail-oriented physician and AI data specialist with a unique blend of clinical and computational expertise in women's health. My experience spans across clinical research and AI model training, where I have honed my skills in medical data annotation, NLP model validation, and bias detection in AI-driven healthcare platforms. I excel at bridging the gap between clinical accuracy and technical implementation in AI tools, ensuring that they meet the highest standards of patient care.

In my current role as a Senior Clinical AI Data Trainer for the ASKFLO Women’s Health Project, I conduct critical evaluations of AI-powered datasets to ensure clinical accuracy and fairness. I lead structured content audits and collaborate with machine learning engineers to refine healthcare outputs. My previous experiences as a Freelance Researcher and OBGYN Physician have equipped me with the ability to manage complex health data projects and perform over 300 OBGYN procedures, all while advocating for health equity and inclusion in data.

As a Clinical Educator, I have delivered impactful lectures and mentored students, focusing on maternal health and evidence-based medicine. My commitment to improving healthcare outcomes is evident in my work with various health data analysis projects, where I generate predictive insights that facilitate faster clinical decisions. I am passionate about leveraging my skills to contribute to innovative solutions in women's health and AI.