Healthcare ML Platform @ CERAMED

Building production-grade infrastructure for medical AI applications with:

• 🏗️ AWS Multi-Account Landing Zone architecture (Terraform IaC)
• ⚙️ Python/FastAPI Backend with ML model integration (SageMaker)
• 📊 Dual Database Strategy: Aurora (transactional) + HealthLake (FHIR clinical data)
• 🔒 Security & Compliance: Cognito authentication + SMART on FHIR + GDPR/HDS
• 🚀 GitOps CI/CD Pipelines: ECS Fargate, ECR, automated deployments

Télécom Paris (Institut Polytechnique de Paris)
Engineering Degree | GPA: 3.95/4.0 (Top 10%)

Specializations:

• Applied Mathematics for AI (Statistics, Optimization, Deep Learning)
• Cloud Architecture (Microservices, Containerization, IaC)

Academic Exchange:
FIUBA Buenos Aires | Top South American Engineering School

💼 Open to Cloud/ML Engineering opportunities
📍 Based in Paris, France
📧 antoine.prevost.contact@gmail.com