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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