Aug 2022 - Present
Current role
Notable Health · San Mateo, CA
Software Engineer · Python · TypeScript · Node.js · React · PostgreSQL · BigQuery · SIP · GCP · Kubernetes · Terraform
My team owns the voice and conversations platform at a healthcare AI company serving 100+ enterprise customers: the AI-driven patient calls and the whole stack under them, from the conversation services and workflow APIs down to carrier-facing telephony. It handles around 250,000 patient calls a month at 99% uptime, and I set the technical direction for patient identity, routing, observability and reliability. Published résumé · 2026
- Design the telephony integrations down to the protocol - SIP and TLS, SRTP, caller-ID preservation, DTMF, DID routing - and I wrote the specification health systems build against to connect their phone systems to ours. It has driven more than $1M in ARR.
- Own secure caller authentication end to end: EHR and FHIR patient lookup, one-time-code verification by SMS, and the auditable hand-off of a verified caller into a customer’s own call center. HIPAA-compliant verification across 5+ health systems.
- Own reliability and incident response for voice: I lead the debriefs and turn failure modes into platform fixes, including customer-configurable fallback routing that keeps a caller connected when an upstream provider goes dark.
- Lead the AI-powered testing capability for the flow builder, so a builder can trust a flow before it ever takes a real call. Flow success rates are above 90%.
- Shipped multilingual conversations, configurable transfer workflows and builder-facing configuration, which cut new-customer launch time from weeks to days. I also contribute to the healthcare-integration core - HL7 and Mirth encounter ingestion, FHIR authorization, insurance data modeling - and mentor engineers from junior through senior.
Tech lead, mentor, and the primary reviewer for a distributed contractor team. Evidence pending
























