System ArchitectureShipped2025
Scalable ML Serving Architecture
A horizontally-scalable inference service with batching, caching, and graceful degradation.
Designed a system that serves model predictions under load with request batching, a Redis cache layer, and circuit breakers.
Tech stack
PythonDockerRedisFastAPI
Tags
Distributed SystemsInferenceScalability