CultureAI is a live, multi-tenant SaaS platform I built solo as founding engineer — an AI-powered employee engagement tool used by companies to track team sentiment and culture health in real time.
Tech stack:
Frontend: React
Backend: Node.js
Database: MongoDB
Payments: Stripe (per-seat subscription billing, proration logic, free-tier credit gating, webhook handling)
AI: OpenAI API and Claude API integration for sentiment scoring, with per-tenant token metering and cost control
Architecture: Multi-tenant infrastructure with per-tenant data isolation and role-based access control (RBAC)
What this project involved:
I handled the entire build end-to-end — from system architecture and database design to backend API logic, frontend UI, third-party integrations, and production deployment. This wasn't a template or boilerplate SaaS; it's a custom-built platform designed around a specific problem: helping HR teams and managers understand employee engagement without relying on slow, infrequent survey cycles.
Key engineering challenges I solved:
Designing a multi-tenant data model that keeps every company's data fully isolated while sharing infrastructure efficiently
Building a subscription billing system that handles upgrades, downgrades, proration, and free-tier limits correctly
Integrating LLM APIs (OpenAI + Claude) in a way that's cost-controlled per tenant, so usage doesn't spiral unpredictably
Building an investor-ready product with a working demo, pitch deck, and real production traffic
Live product: app.startcultureai.com
If you're looking for a full-stack developer who can take a SaaS idea from architecture to production — including billing, AI integration, and multi-tenant infrastructure — this project is a good representation of that range.
saas fullstackdeveloper reactjs nodejs mongodb stripe openai softwareengineer webapp startup b2bsaas…CultureAI is a live, multi-tenant SaaS platform I built solo as founding engineer — an AI-powered employee engagement tool used by companies to track team sentiment and culture health in real time.
Tech stack:
Frontend: React
Backend: Node.js
Database: MongoDB
Payments: Stripe (per-seat subscription billing, proration logic, free-tier credit gating, webhook handling)
AI: OpenAI API and Claude API integration for sentiment scoring, with per-tenant token metering and cost control
Architecture: Multi-tenant infrastructure with per-tenant data isolation and role-based access control (RBAC)
What this project involved:
I handled the entire build end-to-end — from system architecture and database design to backend API logic, frontend UI, third-party integrations, and production deployment. This wasn't a template or boilerplate SaaS; it's a custom-built platform designed around a specific problem: helping HR teams and managers understand employee engagement without relying on slow, infrequent survey cycles.
Key engineering challenges I solved:
Designing a multi-tenant data model that keeps every company's data fully isolated while sharing infrastructure efficiently
Building a subscription billing system that handles upgrades, downgrades, proration, and free-tier limits correctly
Integrating LLM APIs (OpenAI + Claude) in a way that's cost-controlled per tenant, so usage doesn't spiral unpredictably
Building an investor-ready product with a working demo, pitch deck, and real production traffic
Live product: app.startcultureai.com
If you're looking for a full-stack developer who can take a SaaS idea from architecture to production — including billing, AI integration, and multi-tenant infrastructure — this project is a good representation of that range.
saas fullstackdeveloper reactjs nodejs mongodb stripe openai softwareengineer webapp startup b2bsaasWW…