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Enterprise Production2023–2025

GTMScale

B2B Health-Tech ERP Platform

Full-Stack Software Developer 500+ healthcare organizations

A production B2B SaaS ERP serving 500+ healthcare orgs with real-time operational and KPI data at scale.

A microservice-based B2B SaaS ERP (MERN + AWS) powering 500+ healthcare organizations, with 24+ features, real-time dashboards and sales trackers, hardened by JWT auth and automated testing across 750+ CI/CD deployments.

System Architecture

500+ OrgsB2B tenantsAPI GatewayJWT authKPI ServicesAnalyticsDashboardsReal-timeSales Tracker24+ featuresMongoDBOperationalPostgreSQLRelationalCI/CD750+ deploys
500+ orgs hit a JWT-secured gateway that fans out to 12+ microservices over MongoDB and PostgreSQL, shipped via 750+ CI/CD runs.

The Problem

Healthcare organizations needed a reliable, fast, multi-tenant ERP for day-to-day operations and analytics, shipped continuously without breaking production.

What I Engineered

  • Architected 12+ microservices powering a production B2B SaaS ERP serving 500+ healthcare organizations.
  • Championed 750+ CI/CD deployments with DevOps practices for dependable, continuous releases.
  • Designed and launched 24+ features including real-time dashboards and sales trackers.
  • Improved API performance by 60% through query optimization, indexing and pagination across MongoDB and relational data.
  • Built secure MERN applications with JWT authentication and reduced bug reports by 50% via automated testing.

Impact & Scale

  • 500+ organizations served in production
  • 60% faster APIs and 45% faster end-user experience
  • 50% fewer bug reports via automated testing
  • 750+ dependable CI/CD deployments
Organizations500+
Deployments750+
Microservices12+

Engineering Decisions

  1. 01

    Decomposed the platform into 12+ focused microservices over a shared monolith.

    Independent services let 24+ features ship on their own cadence to 500+ orgs without one release train blocking everything. The operational cost of running many services was absorbed by CI/CD automation.

  2. 02

    Won latency back through indexing and query tuning before scaling hardware.

    The 60% API improvement came from indexes, query optimisation and pagination across MongoDB and relational data: a cheaper, more durable fix than adding infrastructure to mask slow queries.

  3. 03

    Gated every one of 750+ deploys behind automated tests.

    Continuous deployment to production healthcare tenants only works if releases are safe by default. Test gates cut bug reports 50% and let a small team ship continuously without breaking production.

Stack

Node.jsMongoDBPostgreSQLAWSDockerCI/CDMERNMicroservices

Source is proprietary to GTM4Health — architecture and trade-offs walked through on request.

Open to AI Software Development & Platform Engineering roles

Need someone who ships systems like this into production?