Sarah Atlas
I’m a full-stack software engineer who’s spent the last 8+ years building and shipping scalable SaaS and enterprise applications end-to-end—front end in React/Next.js, back end with Python (FastAPI/Django) and Node.js,…
About
I’m a full-stack software engineer who’s spent the last 8+ years building and shipping scalable SaaS and enterprise applications end-to-end—front end in React/Next.js, back end with Python (FastAPI/Django) and Node.js, and reliable data APIs backed by PostgreSQL. I enjoy turning product requirements into clean, maintainable systems, and I’m especially focused on performance, automation, and smooth user experiences.
I also bring strong cloud and platform experience, including deploying containerized services on AWS and Kubernetes and improving operational visibility with OpenTelemetry, Prometheus, and Grafana. I’ve integrated AI capabilities (including OpenAI/GPT-4 and Claude via LangChain-style workflows) into internal tools and document-review processes, and I thrive in cross-functional environments where engineering, security, and observability all matter.
- 8 years' experience
- Joined October 2026
Industry experience
- Healthcare
- Software & Internet
More experts in New York, United States
Work experience
Built healthcare applications using Python (FastAPI/Django), React/Next.js, PostgreSQL, AWS, Kubernetes, and Terraform, contributing to a 42% improvement in platform scalability. Delivered full-stack features across TypeScript/Node.js backend services and React/Next.js interfaces, including dashboards, reusable UI components, and TanStack Query synchronization. Designed REST and GraphQL APIs for scheduling, intake, reporting, and workflow automation with authentication and background processing. Optimized PostgreSQL indexing and backend designs to reduce API latency by 35%. Implemented Celery/Redis processing and Python pipelines for reporting/automation and integrated GPT-4 and Claude into internal document-review workflows. Deployed containerized workloads on AWS/Kubernetes and supported production observability with OpenTelemetry, Prometheus, and Grafana.
Developed document management and customer-facing portals, search, and review workflows using Django, Flask, React/Next.js, Vue.js, PostgreSQL, and AWS. Built Node.js/TypeScript services and REST/GraphQL APIs for third-party integrations and workflow automation. Created Python pipelines for document ingestion, OCR transformation, classification, and metadata extraction, integrating OpenAI and Claude APIs for summarization and search. Improved reporting performance by 38% through PostgreSQL schema design, indexing, and query optimization. Built Celery/Redis background processing services and enhanced frontend performance by reducing redundant API calls and standardizing reusable components. Implemented authentication, authorization, audit logging, rate limiting, and SOC2-aligned controls.
Education
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