At Warner Bros, we were tasked with developing an advanced multimodal development tool aimed at streamlining the creation of rough cuts. This innovative tool was designed to enhance the efficiency and accuracy of content editing by leveraging state-of-the-art machine learning models.

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Key Contributions:

• Multimodal Development Tool: Led the development of a sophisticated tool that integrates multiple modes of data (text, audio, and video) to facilitate the rough cut creation process.

• Advanced Query Models: Developed machine learning models that enable Warner Bros to perform detailed queries across their entire content library, retrieving specific text, vocal, and action moments with precision.

• Enhanced Content Editing: The tool provides editors with a powerful capability to quickly locate and compile relevant content, significantly reducing the time and effort required to create rough cuts.

• AI Integration: Utilized AI technologies to continuously improve the tool’s performance, learning from each query to deliver increasingly accurate results.

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This project highlights my expertise in leading complex AI-driven initiatives and showcases the impact of advanced machine learning solutions on media and content production.