Danny S

I am a mission-driven builder with over 10 years of experience architecting high-stakes healthcare platforms and productionizing frontier AI. I bridge the gap between research and production-ready applications, focusing on deterministic, HIPAA-compliant systems.

At OpenEvidence I architected and scaled multi-agent clinical search engines serving 40% of U.S. physicians and engineered a high-performance RAG pipeline that reduced latency by 78% and improved deployment velocity sixfold. I led development of HIPAA-secure WebRTC calling and ambient scribing systems, and built the first AI system to score 100% on the USMLE using LLM evaluation frameworks.

Previously at Highmark Health I spearheaded the technical launch of a unified digital front door for 6.8 million members, modernized legacy monoliths to a cloud-native GCP environment, and developed enterprise AI portals and interoperable FHIR/OAuth2 API ecosystems. My work delivered measurable outcomes including a 30% increase in monthly engagement and $245M annual savings from AI-powered claims analysis.

I prioritize performance, security, and deterministic accuracy in mission-critical environments, ensuring SOC2 Type II readiness, HIPAA compliance, and 99.99% availability while enabling rapid, reliable AI-driven clinical decisioning at scale.