Louis Dai

I am a senior full-stack engineer with seven years building large-scale, HIPAA-compliant healthcare and digital services platforms that serve millions of users. I blend deep expertise in React, Node.js, and Python with experience designing secure, event-driven architectures and AI-powered clinical workflows.

At Teladoc Health I integrated GPT-4 and Nuance DAX to enable structured SOAP note generation, cut documentation time by ~30%, and implemented RAG pipelines with pgvector and Pinecone to improve follow-up adherence by 18% in a 400-patient pilot. I built microservices in Flask and FastAPI with OAuth2/JWT/RBAC for compliance and added observability that reduced mean time to detect incidents by 40%.

Previously at Ro and Empeek I developed Node.js and Python microservices, serverless AWS endpoints, and clinician-facing dashboards using React/Next.js, improving SLA compliance, reducing latencies, and scaling prescription and patient messaging workflows to millions of users. I authored Terraform modules, CI/CD pipelines, and organizational LLM usage standards, and led enablement sessions for engineers and compliance teams.

I am recognized for mentoring peers, setting engineering standards, driving adoption of emerging technologies, and delivering measurable outcomes focused on reliability, security, and user impact. I prioritize pragmatic, auditable systems that balance technical precision with cross-functional collaboration.