I'm a Medical Doctor who taught himself data science — and that combination shapes everything I build. With a PhD in Medical Imaging and an MSc in Epidemiology & Health Policy, I bring academic depth to real-world AI problems in healthcare.

Over 7+ years in the industry I've worked across medical NLP, computer vision, RAG pipelines, CDSS, and clinical automations — as individual contributor, team lead, and consultant.

• 🏥 RAG & CDSS — multi-source and graph RAG pipelines for clinical decision support
• 🧠 Medical NLP — LLM fine-tuning, prompt engineering, medical text analysis
• 🖼️ Medical Imaging — computer vision, classification, multimodal data integration
• ⚙️ Healthcare Automations — AI-driven clinical workflow automation
• 📐 ML Research — complex classification frameworks, ontology engineering

An open-source multimodal clinical case dataset built from PubMed Central case reports.

• 98,000+ clinical cases · 139,000+ medical images · 140+ image classes
• Published in MDPI Data

Python library to create customized subsets of the MultiCaRe Dataset.

pip install multiversity

A theoretical framework for complex ML classification with any number of classes and logical relations.

• Published in Applied Ontology

I'm available for freelance projects and consulting in healthcare AI.

• 💼 LinkedIn