I design and build backend systems that are resilient under load, safe with data, and predictable in failure.
My work focuses on multi-tenant SaaS platforms, asynchronous processing systems, and real-time distributed architectures. I care deeply about correctness, data integrity, and long-term maintainability over quick feature delivery.
- Scalable backend services (NestJS, Fastify, Django)
- Multi-tenant SaaS architecture
- Asynchronous processing (Redis, BullMQ, Pub/Sub)
- PostgreSQL schema design & transaction safety
- Event-driven systems
- Containerized production environments
- NestJS 10, Fastify
- Clean modular structure
- RBAC & multi-tenant isolation
- JWT auth (access + refresh flow)
- RESTful APIs with strict validation
- PostgreSQL 16 (ACID, indexing, constraints)
- Prisma & TypeORM
- Monetary precision using integer storage
- DB-level transactional guarantees
- Soft deletes & audit-friendly schemas
- Redis 7
- BullMQ producer-consumer patterns
- Redis Pub/Sub for cross-service communication
- WebSocket streaming
- Background workers separated from API lifecycle
- Docker & Docker Compose
- Monorepo architecture (Turborepo + pnpm workspaces)
- Strict TypeScript (v5)
- Environment-based config
- Migration-based database versioning
A production-grade B2B SaaS platform built for small medical shops in India.
Architecture Highlights:
- Row-level multi-tenancy using
shop_idisolation across guards, services, and queries - RBAC with OWNER / MANAGER / STAFF roles
- Atomic stock deduction using DB transactions
- FEFO batch handling (First Expiry First Out)
- All money stored in paise (integer-based accounting to avoid float errors)
- JWT-based auth with rotating refresh tokens
- Redis-backed background processing
- Fully containerized local and production setup
Tech Stack:
NestJS 10 · PostgreSQL 16 · Redis 7 · BullMQ · Next.js 14 · TypeScript (strict mode)
This project reflects production-oriented thinking: data integrity first, concurrency-safe inventory logic, and maintainable service boundaries.
A high-performance order execution backend built with Fastify and Redis-based worker architecture.
Architecture Highlights:
- Producer–consumer model using BullMQ
- Orders queued instantly; workers process independently
- API remains responsive under load
- Redis Pub/Sub bridges worker and WebSocket server
- Real-time order status streaming
- Strategy pattern for smart DEX routing
- Concurrent price discovery using
Promise.all - ACID-compliant order state management in PostgreSQL
Tech Stack:
Fastify · PostgreSQL · Prisma · Zod · Redis · BullMQ · TypeScript
This system demonstrates async system design, service separation, and real-time event-driven communication.
- Design for scale before optimizing prematurely
- Transactions protect business logic
- Validation happens at system boundaries
- Data models determine system quality
- Services should fail safely and observably
- Asynchronous processing reduces coupling and improves resilience
- Advanced system design patterns
- Distributed consistency models
- Scalable database architecture
- High-performance API design
- Email: shivamkr7822@gmail.com
- LinkedIn: https://www.linkedin.com/in/shivam-kr-chaudhary/
I am focused on building backend systems that survive real-world usage.