Architecture
I start from product constraints, data shape, failure modes, and deployment reality. The goal is not to add more infrastructure; it is to make the system easier to operate, scale, debug, and safely extend.
1. Bound the API contract and response shape.
2. Choose persistence based on access patterns.
3. Move slow work to queues only when it changes user experience or reliability.
4. Verify with tests, logs, health checks, and production-safe smoke checks.
Portfolio Platform
Design examples
Scaling a production NestJS backend with PostgreSQL, Redis, RabbitMQ, Prisma, and disciplined team delivery.
Maintained 99.9% uptime, reduced API latency by 40%, and supported consistent delivery with a backend team of 8 engineers.
Open case studyOperator Platform Runtime
A consulting platform with chat, VoIP, video, learning modules, and backend microservices.
Supported 500+ concurrent users with real-time communication flows and faster SQL retrieval paths.
Open case studyReal-Time Consulting Platform
Financial backend systems with KYC/AML, exchange integrations, blockchain nodes, and polyglot persistence.
Enabled compliant onboarding and scalable backend features for financial workflows.
Open case studyExchange Backend and KYC Flow