Led and engineered the complete ML pipeline for the Digital Wardrobe App as Team Lead — integrating image styling models, outfit recommendation engines, and background removal pipelines to create an AI-powered fashion platform. Managed the team end-to-end from architecture through deployment.
Problem Statement
Constraint: The platform needed to analyze clothing images, automatically remove backgrounds, and provide personalized outfit recommendations with sub-second latency on mobile devices, all while operating under a strict cloud budget.
How I Solved It
Trade-offs & Architecture: We opted for a microservices architecture deploying models via FastAPI on RunPod, rather than monolithic cloud ML services which were too expensive. I designed a pipeline prioritizing the background removal model first, cascading to styling models asynchronously to keep the primary UI responsive.
Results Achieved
Key Takeaways
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