Roberto Villafuerte

• Leading the design and governance of SaliHub's data architecture to support a scalable preventive health ecosystem
• Architected the founding data model and core database schema from scratch, translating complex LOPD privacy requirements and business logic into a secure, multi-tenant architecture
• Established Privacy-by-Design and defined the organization's data governance framework, implementing strict access controls and audit trails to handle sensitive health data (PII/PHI)
• Building scalable data infrastructure with robust ETL pipelines using Python and SQL to transform raw health signals into longitudinal user insights and real-time dashboards
• Partnering with Product and Engineering to translate business goals into measurable data capabilities

• Built and deployed a production-grade RAG pipeline to automate support workflows with high reliability
• Designed end-to-end backend services in Python from prototype to deployment
• Implemented retrieval quality evaluation and continuous improvement workflows
• Added monitoring and observability practices to support safe releases and maintenance

• Designed and implemented an end-to-end sales forecasting system using Snowflake, Mage AI, and Python — from raw transactional data to automated daily predictions for branch managers
• Built data cleaning, feature engineering, model training, and evaluation workflows following CRISP-DM principles
• Improved reliability with validation checks, schema conventions, and documentation for reproducibility

Focus: software engineering, algorithms, databases, applied machine learning.

Coursework: Big Data Platforms, Computer Vision, Engineering of ML Systems, Trustworthy ML, Software Architecture.