Multi-modal Generation Platform

Overview

A unified backend fronting image, video and 3D generative models, with async queues for compute-heavy inference.

Architected a unified backend integrating image, video and 3D generative AI models behind one API surface, with async job queues absorbing compute-heavy inference so request threads never block. Average inference latency dropped 35% through provider-level optimisation and intelligent request routing — cheap providers for cheap work, expensive ones only when quality demands it. Response caching and prompt compression delivered a 25% cost reduction per thousand requests, and every routing strategy was validated by A/B test rather than assumption.