Founding engineer building production full-stack SaaS and AI-agent workflows for veterinary practice management. I work across TypeScript, Next.js, NestJS, PostgreSQL, AWS, retrieval systems, secure tool integrations, and forward-deployed customer onboarding.
- AI agents, RAG pipelines, citation-aware retrieval, structured outputs, and bounded tool actions
- React, Next.js, NestJS, Node.js, TypeScript, Python, PostgreSQL, Redis
- WebRTC, LiveKit, WebSockets, Twilio, real-time collaboration, and multimodal communication systems
- AWS ECS/CDK, OIDC, Secrets Manager, signed webhooks, scoped credentials, and Docker
- MCP servers, agent-accessible tools, secure integration boundaries, and context engineering
- Building auditable AI workflows for clinical and operational data
- Designing retrieval and context-generation layers that respect clinic and brand boundaries
- Shipping forward-deployed onboarding, data migration, and multi-location rollout tooling
- Building deterministic runtime systems around LLM-generated adapters and tool calls
- Veterinary practice management SaaS — Full-stack platform covering clinical workflows, EMR, collaboration, communications, inventory, billing, and onboarding.
- Clinical AI / RAG — Citation-backed search and summaries over patient records with structured outputs and source traceability.
- AI-agent workflows — Voice, analytics, and operational agents with bounded tools, streaming UX, secure credentials, and tenant-aware data access.
- Forward-deployed engineering — Legacy PIMS migration, customer onboarding, live data audits, and multi-location operational rollouts.
- DRM video platform — Secure paid content delivery with encrypted playback, watermarking, Stripe billing, and admin tooling.
Milpitas, CA



