At Oracle Health, I rebuild clinical ordering and search systems, cutting critical API latency by up to 90% and reducing order-update execution time from 34 seconds to 7–8 seconds through atomic bulk updates. I also built a reusable Suggest API across more than 2 million order items and introduced concurrency controls for reliable clinical transactions.
I extend enterprise platforms to agentic AI, creating FastMCP tools that route model-generated actions through existing validation and architecting a six-stage clinical-ordering orchestration workflow. I serve as technical owner for clinical ordering and AI-agent integrations, leading architecture, knowledge transfer, and cross-service coordination.
Previously, I automated structured-note settlement and quoting workflows at Goldman Sachs, reducing settlement failures from 8% to under 1%. At Samsung Research Institute, I shipped audio OS and UX features including Dolby Atmos and Equalizer to roughly 1 billion active devices while leading applied ML initiatives.
