Marco Spilimbergo

Owned full-stack engineering for federal healthcare and public-health analytics applications, delivering React and Angular interfaces for complex data exploration, reporting, and internal research workflows. Engineered Node.js/NestJS microservices with TypeScript, implementing secure REST APIs, asynchronous processing, and integrations with cloud-based healthcare analytics platforms. Implemented a RAG pipeline using LangChain.js, Azure OpenAI, and Azure AI Search to enable contextual question-answering across approved internal documents. Integrated LLM-powered agents into existing NestJS services with structured outputs, document citations, role-based access controls, and validation to improve response reliability.

Owned end-to-end engineering for B2B SaaS and customer-support automation products, covering solution architecture, backend services, frontend development, and third-party integrations. Built customer-facing dashboards and administration portals using Next.js, React, and Vue.js for account management, support tickets, and role-based permissions. Architected NestJS/Express microservices with PostgreSQL, Redis, and Prisma for transactional workflows, webhook integrations, and asynchronous background processing. Introduced LLM-powered customer-support assistants using LangChain.js, OpenAI APIs, embeddings, and RAG, grounding responses in indexed knowledge-base content. Prototyped real-time conversational AI using LiveKit, Deepgram, WebRTC, and streaming LLM APIs, connecting speech recognition to dialogue processing and human-escalation workflows. Provisioned AWS ECS Fargate, Aurora PostgreSQL, and S3 via Terraform with GitHub Actions and CloudWatch for releases, monitoring, and operationa

Managed containerized Node.js applications on Azure Kubernetes Service (AKS), using Azure Functions, Blob Storage, and background workers for document ingestion and event-driven processing. Automated infrastructure provisioning through Terraform and Azure DevOps, configuring CI/CD pipelines and production observability with Azure Monitor and Application Insights. Applied Claude Code and Cursor for codebase exploration, automated test generation, and targeted refactoring while maintaining consistent engineering standards across shared backend services.