Enterprise Production2023–2025

GTMScale

B2B Health-Tech ERP Platform

Full Stack Software Development Engineer 500+ healthcare organizations Microservices & API performance at scale

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.

Engineering Brief

My contribution
Microservice architecture, product features, API and query optimization, authentication, and automated release testing.
Engineering difficulty
Ship independently across a multi-tenant healthcare ERP while controlling query cost and release risk.
Outcome
A production ERP with customer adoption, frequent releases, faster APIs, and fewer bug reports.
Inspect architectureEvidence & scope Portfolio context
Engineering questions

The Problem

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

System Architecture

Enter system environment

Architecture design

Illustrative paths, not live telemetry.

500+ orgs hit a JWT-secured gateway that fans out to 12+ microservices over MongoDB and PostgreSQL, shipped via 750+ CI/CD runs.

Architecture overview. No node selected.

Full network reference

  • 500+ Orgs

    B2B tenants

    Kind: client

    Healthcare organizations are the reported tenant population; the public portfolio does not contain a customer ledger.

    Incoming (0)

    None in this diagram

    Outgoing (1)

  • API Gateway

    JWT auth

    Kind: api

    Authenticate API access with JWT and route requests into the ERP services.

    Incoming (2)

    Outgoing (3)

  • KPI Services

    Analytics

    Kind: service

    Serve operational analytics and KPI data as a separate service concern.

    Incoming (1)

    Outgoing (1)

  • Dashboards

    Real-time

    Kind: service

    Expose real-time operational dashboards backed by the platform's data services.

    Incoming (1)

    Outgoing (1)

  • Sales Tracker

    24+ features

    Kind: service

    Support sales-tracking workflows within the reported product-feature scope.

    Incoming (1)

    Outgoing (1)

  • MongoDB

    Operational

    Kind: data

    Store operational documents, with indexes and pagination used to control query cost.

    Incoming (2)

    Outgoing (0)

    None in this diagram

  • PostgreSQL

    Relational

    Kind: data

    Serve relational data alongside the MongoDB workloads.

    Incoming (1)

    Outgoing (0)

    None in this diagram

  • CI/CD

    750+ deploys

    Kind: ops

    Automate testing and service releases across the ERP's independently deployed services.

    Incoming (0)

    None in this diagram

    Outgoing (1)

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

Project references

  • 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+

Evidence & Scope

This case study covers service boundaries, query optimization, authentication, release testing, and ERP features.

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

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.js
Implement the ERP's independently deployed backend services.
MongoDB
Serve operational data with query tuning, indexes and pagination.
PostgreSQL
Support relational data alongside the document-oriented workloads.
CI/CD
Make automated tests part of the release workflow for multiple services.
Node.jsMongoDBPostgreSQLAWSDockerCI/CDMERNMicroservices

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

Related work

Shared engineering patterns across separate systems, not runtime dependencies.

This project in the AtlasCompare connected systems
  • Hexus – Smart Log Manager

    Both expose multi-tenant applications through APIs, with distinct documented trade-offs: Hexus centralizes tenant isolation in database policies; GTMScale separates service releases and tunes data access.

    Enterprise Internal

    Project references
  • RapidDoc AI

    CI/CD maintains different artifacts in each project: RapidDoc regenerates documentation on code changes; GTMScale tests and releases services.

    Production Pilot

    Project references

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