Case StudyAI Infrastructure Engineer
GenAI Image & Video Generation Platform
Backend services for AI-driven image and video generation with Image Inpainting capabilities
Stack:PythonFastAPIPostgreSQLRedisDockerAWS
Project Overview
Background & Objective
Designed and optimized backend architecture for a Generative AI platform supporting Image Generation, Video Generation, and Image Inpainting. Implemented queuing mechanisms and scalable RESTful APIs that improved response time by 25% and reduced processing time by 40%.
Narrative
Challenge, Solution & Impact
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The Challenge
Managing long-running GPU inference workloads and asynchronous task queue management under peak load spikes.
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The Solution
Designed queue-backed API services with worker isolation, job status tracking, retry policies, and autoscaling-friendly deployment boundaries for GPU workloads.
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Results & Impact
Improved API throughput by 25% and reduced video rendering job wait time by 40%.
Visual Showcase
Screenshot Gallery
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