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Niraj12chaudhary/readme.md

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About

I design and build backend systems that are resilient under load, safe with data, and predictable in failure.

My work spans multi-tenant SaaS platforms, asynchronous distributed architectures, real-time event systems, and cloud infrastructure on AWS and GCP. I care deeply about correctness, data integrity, and observability not just shipping features.

I think in transactions, queues, and service boundaries. Every system I build is designed to fail safely, scale predictably, emit useful signals when something goes wrong, and be maintainable six months from now by someone who isn't me.

🔭 Engineering Focus

Domain Focus Areas
Backend Services NestJS 10 · Fastify · Django
SaaS Architecture Multi-tenant isolation · RBAC · Row-level tenancy
Async Processing Redis · BullMQ · Pub/Sub event pipelines
Data Layer PostgreSQL schema design · Transaction safety · ACID guarantees
Real-Time Systems WebSocket streaming · Event-driven communication
Cloud Infrastructure AWS · GCP · Containerized production deployments
Observability Grafana dashboards · Metrics · Structured logging · Alerting

🛠 Tech Stack

Languages

Skills

TypeScript Node.js Python


Backend Frameworks

Skills

NestJS Fastify Django REST JWT


Databases & ORM

Skills

PostgreSQL Redis Prisma TypeORM


Async & Event Systems

BullMQ Redis PubSub WebSocket Event Driven


Cloud & Infrastructure

Skills

AWS EC2 S3 RDS GCP Cloud Run Docker Docker Compose


Observability & Monitoring

Skills

Grafana Prometheus Structured Logging Alerting


Tooling & Workflow

Skills

Turborepo pnpm Zod Monorepo

🚀 Flagship Projects

💊 MedShop

Multi-Tenant Medical Shop SaaS

A production-grade B2B SaaS platform built for small medical shops across India. Designed with correctness and data integrity as first-class concerns — not bolted on after the fact.

Architecture Highlights

  • Row-level multi-tenancy via shop_id across all guards, services, and queries
  • RBAC with OWNER / MANAGER / STAFF role hierarchy
  • Atomic stock deduction via PostgreSQL transactions
  • FEFO batch rotation — First Expiry, First Out
  • Integer-based monetary storage in paise — eliminates float precision errors entirely
  • JWT auth with rotating refresh tokens
  • Redis-backed async background processing
  • Grafana dashboards for queue depth, job failure rates, and API latency
  • Fully containerized for local dev and production deployment

NestJS PostgreSQL Redis BullMQ Grafana Next.js TypeScript Docker

⚡ Order Execution Engine

Async Distributed Processing System

A high-performance order execution backend built with Fastify and a Redis-based worker architecture. Designed for throughput, responsiveness, and full real-time observability.

Architecture Highlights

  • Producer–consumer model with BullMQ — orders queued instantly, processed independently
  • API layer stays responsive under queue saturation
  • Redis Pub/Sub bridges background workers and WebSocket server
  • Real-time order status streaming to connected clients
  • Strategy pattern for smart DEX routing decisions
  • Concurrent price discovery via Promise.all
  • ACID-compliant order state transitions in PostgreSQL
  • Prometheus metrics exposed per worker; visualized in Grafana
  • Deployed and managed on AWS infrastructure

Fastify PostgreSQL Prisma Redis BullMQ Prometheus Grafana AWS TypeScript

📐 Engineering Principles

Design for scale before optimizing prematurely.
Transactions are the first line of defense for business logic.
Validation belongs at system boundaries — not scattered throughout.
Data models determine long-term system quality.
Services must fail safely, loudly, and observably.
Async processing reduces coupling and improves resilience.
You can't fix what you can't measure — instrument everything.

📚 Currently Learning

Typing SVG

📊 GitHub Stats

📬 Contact

LinkedIn Email Resume

Building backend systems that survive real-world usage.

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