Prolaio Offices

Develop and automate comprehensive tests for data pipelines, ETL/ELT processes, and cloud data platforms. Validate data quality, transformations, performance, scalability, and time-series biosensor outputs. Build synthetic datasets that replicate production data, identify anomalies and bottlenecks, and improve testing frameworks. Collaborate with data engineers and scientists to ensure reliable data throughout the lifecycle supporting regulated software-as-a-medical-device products.

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.

Leads Prolaio’s enterprise information security and cloud operations strategy for an AI-driven healthcare platform. Owns cybersecurity, continuous compliance, cloud infrastructure, threat modeling, vulnerability management, identity and access management, incident response, vendor risk, and AI security. Establishes security-as-code and automated compliance frameworks supporting HITRUST, ISO, HIPAA, FDA, GxP, and privacy requirements while partnering with engineering, data, clinical, and executive teams.