High-Performance API Backend Development

A high-performance API backend built to absorb heavy, concurrent request volume without falling over. I engineered the server-side architecture in Node.js and TypeScript on MongoDB, with supporting Python services, focusing on throughput, reliability, and the ability to scale horizontally.

The platform needed an API that stayed fast and stable under sustained high load — the kind of traffic that exposes slow queries, memory leaks, and brittle architecture. The client needed more than working endpoints; they needed a backend designed from the ground up for performance and scale.

A Node.js / TypeScript API layer structured for high concurrency and low latency

A MongoDB data layer with query and index optimisation for heavy read/write volume

Supporting Python services for data-processing workloads

Caching, efficient pagination, and request-handling patterns tuned for throughput

An architecture designed to scale horizontally as demand grows

Node.js, TypeScript, MongoDB, and Python.

The client gained a backend that holds up under heavy API load — fast, reliable, and built to scale — replacing performance bottlenecks with an architecture engineered for throughput from day one.