About Raj

Build for the path the diagram leaves out.

The slow dependency. The unexpected traffic shape. The cache that is empty at the wrong moment. The infrastructure cost that keeps compounding.

Raj Aryan in a yellow kurta

Engineering focus

Reliable backend systems that connect technical detail with product consequences.

Raj Aryan is a backend software engineer with more than three years of experience building and operating high-scale distributed systems. His work centres on Golang services, event pipelines, caching, search and discovery, data systems and AWS infrastructure.

The systems span promotions, rewards, subscriptions, search, homepage, dish and location platforms—places where a small latency regression, dependency outage or inefficient data path can have a direct product and cost impact.

Working principles

Trade-offs should be visible before they are expensive.

Performance work starts with measurement: request shape, allocation pressure, dependency cost and query volume. Reliability work starts with failure modes: timeouts, retries, partial dependencies, capacity limits and degraded behaviour. Neither is a final polish step.

The engineering goal is a system that can explain its own behaviour, carry real traffic without fragile assumptions and make sensible choices under pressure. That is why observability, kill switches, capacity planning and cost awareness belong in the same conversation as API design.

Grounded in production

Representative areas of work.

Scale

  • Systems operating at 4.3M+ requests per minute
  • High-throughput API paths
  • Capacity and latency analysis

Search

  • Geo-distributed Solr architecture
  • Kafka indexing pipelines
  • Degraded-mode fallbacks

Data paths

  • Redis caching architecture
  • DynamoDB and SQL systems
  • 93% lower query volume from caching work

Reliability

  • Retry amplification analysis
  • Timeout and cascading-failure control
  • Incident response and observability

Performance

  • Go memory and GC behaviour
  • Profiling and allocation analysis
  • Infrastructure-cost optimisation

Background

  • Backend engineering at Zomato
  • B.Tech. in Computer Science, IIIT Nagpur
  • India

Where to next

Explore the system work, or start a focused conversation.