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
Create an intelligent fashion platform that can analyze clothing images, remove backgrounds automatically, suggest outfit combinations, and provide style recommendations — all in real-time from a mobile app — while coordinating a multi-person engineering team.
How I Solved It
Led the team in building and deploying multiple ML models: an Image Styling Model for fashion analysis, an outfit recommendation engine using collaborative filtering, and a real-time background removal pipeline. All models deployed on RunPod with a FastAPI serving layer. Managed the full project lifecycle from planning to production release.
Results Achieved
Key Takeaways
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