Biaani de Bélen Cabrera Benitez

As one of the first contributors to this research initiative at the company, I led the design and deployment of an end-to-end LLM-powered system from scratch to interpret heart-rate data and translate hourly physiological summaries into clear, user-friendly language. The goal was to help people better understand their own health signals, not just raw values, but meaningful explanations they could actually act on. I defined the architecture and built the pipeline using RAG, FAISS vector search, Ollama-hosted local models, and Python-based evaluation workflows, continuously testing and refining the prototype through technical benchmarks and real user studies. Throughout the project, data security, privacy, and ethical considerations were treated as core design constraints, guiding decisions around local model deployment and sensitive health data handling to ensure outputs were not only reliable, but responsible and trustworthy.

Before moving into AI and UX, I worked on the front lines of healthcare technology, ensuring that critical medical and imaging equipment functioned safely and reliably in a hospital environment. I performed preventive and corrective maintenance, troubleshooting, installations, and staff training to keep devices operational, where downtime could directly impact patient care. Working closely with clinicians taught me the importance of precision, safety, and trust in high-stakes systems, a mindset that continues to shape how I design and evaluate technology today.