Licensed Pharmacist · M.Sc. Digital Health · Clinical AI Developer. Building production-grade medical platforms at the intersection of clinical standards and modern engineering.
I'm a licensed pharmacist with an M.Sc. in Digital Health who runs national EHR deployments, validates clinical datasets at scale, and builds clinically validated AI — closing the gap between what clinicians need and what engineers can build.
My thesis project, DiaTwin, received a clinical validation score of 8.7/10 from clinical diabetologists and is on a CE Class IIa + DiGA Fast-Track pathway.
AI-powered T1D management platform with proprietary PK/PD engine, Gemini Vision food-scanning, Abbott FreeStyle Libre CGM integration, and RL layer trained on 50,000+ real meal-outcome pairs. Clinically validated 8.7/10 by Prof. Dr. Parhofer, LMU Munich.
FHIR-native care coordination platform. 6 manually-implemented FHIR R4 resource types, ISiK Stage 1 compliance, DSGVO-ready, and AI-assisted ICD-10-GM coding across 14,370 codes.
Bilingual Arabic/English shopping companion for Egypt. Three-tier caching, RTL support, Leaflet branch maps, live on Google Play serving 5 governorates.
Zero-dependency German learning platform. 3,000+ vocabulary entries, 60+ grammar topics, CEFR A1–C2, FSP module for healthcare professionals. No npm, no bundlers — pure browser.
End-to-end humanitarian crisis data platform with NLP-powered incident extraction (spaCy NER), interactive dual-timeline visualization, Leaflet geo-mapping, and structured evidence archival across 6 data domains. 195 KB of custom JS — no framework. Demonstrates real-world data engineering, pipeline architecture, and clinical-grade data governance standards.
Open to consulting, part-time, and collaborative projects in FHIR interoperability, clinical AI, and full-stack healthtech development.