Prosperia

[ Overview ]

At Prosperia, I worked as a Full Stack Engineer building AI-driven preventative healthcare platforms for Mexico and the Americas. Prosperia automates risk screening, optimizes occupational health campaigns, and makes quality healthcare accessible at scale. I focused on enhancing their GIS mapping for healthcare facility visualization and optimizing data processing pipelines, achieving a 30% reduction in processing time.

[ Key challenges ]

• • GIS mapping integration for geospatial healthcare data across multiple regions in Mexico
• • Large dataset processing optimization — reducing ETL pipeline runtime from hours to minutes
• • Real-time data synchronization between legacy healthcare databases and modern web dashboards

[ Key features ]

• • GIS mapping optimization for healthcare facility and risk data visualization across Mexico
• • 30% reduction in data processing time through pipeline optimization and caching strategies
• • React-based frontends for clinic management, pharmacy dashboards, and campaign analytics
• • Express API backend for healthcare data integration with multiple third-party systems

[ Tech stack ]

• • React for interactive mapping dashboards with GIS visualization libraries
• • Express.js for REST API backend and data processing pipeline orchestration
• • GIS mapping libraries (Leaflet/Mapbox) for geospatial healthcare facility data
• • PostgreSQL with PostGIS for structured and geospatial healthcare data