Healthcare AI Solutions Architect | Digital Health Expert | M.Sc. LMU Munich
Founder of Health Info Tech specializing in AI-driven clinical systems and healthcare data analytics. I combine 5+ years of clinical pharmacy and hospital operations experience with advanced software development to build intelligent healthcare solutions.
🎓 M.Sc. Digital Health (LMU Munich, Grade 1.6) | 💊 Licensed Pharmacist (Germany) | 📍 Munich, Bavaria
LMU Munich Master's Thesis | Rated "Excellent"
AI platform using Machine Learning and Reinforcement Learning for personalized insulin dosing optimization.
- 🤖 ML/RL continuous learning system
- 💉 Pharmacokinetic modeling with multi-factor calculations
- 📊 Real-time physician dashboard with timeline visualization
- 🎯 Automated complex insulin calculations
Stack: React Python/Flask MongoDB scikit-learn RL Algorithms
85% Accuracy | Live Demo Available
ML-powered platform for early detection and prevention of heart disease.
- 🎯 85% prediction accuracy (logistic regression)
- 👨⚕️ Dual-role interface (doctors/patients)
- 📈 Real-time risk assessment with automated recommendations
- 📁 Bulk CSV data import for population health studies
Stack: Python scikit-learn Flask MySQL Live Demo →
19,000+ Records | Interactive Maps | Multilingual
Large-scale data platform with interactive geographic mapping and analytics.
- 🗺️ 400+ geographic points with marker clustering
- 📈 30+ interactive Chart.js visualizations
- 🌍 Multilingual support (English, German, Arabic with RTL)
- ⚡ Optimized performance (FCP < 2s)
Stack: JavaScript Chart.js Leaflet.js HTML5/CSS3
A1-C2 Complete Platform | 3000+ Words | Interactive Audio
Comprehensive language learning platform with integrated text-to-speech.
- 🔊 Click-to-hear pronunciation on every word
- 🎨 Color-coded gender system (der=Blue, das=Green, die=Red)
- 📱 Fully responsive mobile design
- ⌨️ Keyboard shortcuts and adjustable audio controls
Stack: JavaScript Web Speech API Responsive Design
Languages: Python JavaScript SQL HTML/CSS
AI/ML: Machine Learning • Reinforcement Learning • scikit-learn • TensorFlow • Predictive Analytics
Healthcare: EHR Systems • HL7/FHIR • Medical Coding (ICD-10, DRG, SNOMED CT) • Clinical Decision Support
Web: React • Flask • MongoDB • MySQL • Chart.js • Leaflet.js • RESTful APIs
Tools: Git • Jupyter • Power BI • Data Visualization • Project Management (PMI Certified)
✅ Led national EHR interoperability projects (92% cost reduction)
✅ Built ML disease prediction model (85% accuracy)
✅ Developed AI diabetes platform (thesis rated "Excellent" by Prof. Klaus Parhofer, LMU Munich)
✅ Processed 19,000+ medical records with interactive tools
✅ Member of Digital Transformation Unit, Egypt Healthcare Authority
✅ 5+ years clinical pharmacy & hospital operations experience
🤖 AI/ML Clinical Solutions - Predictive models, decision support systems, treatment optimization
📊 Healthcare Data Analytics - EHR analysis, population health insights, compliance reporting
💻 Digital Health Platforms - Patient management, telemedicine, medical dashboards
🔗 EHR Interoperability - System integration, data pipelines, HL7/FHIR implementation
M.Sc. Digital Health | Deggendorf Institute of Technology (LMU Munich) | 2023-2025 | Grade: 1.6
B.Pharm. Pharmacy | Zagazig University | 2013-2019 | Grade: 1.5
Certifications: Pharmacist (Germany) • PMI Project Management • Cisco CCNA • Stanford ML (Coursera) • IBM Data Science
🌐 Portfolio: Healthinfotech
📧 Email: aliattia2@gmail.com
💼 LinkedIn: linkedin.com/in/ali-attia
🏢 Company: Health Info Tech
