Debraj Sinha

Debraj Sinha is a Product Marketing Manager for Metropolis at NVIDIA, focusing on building smarter spaces around the world with AI-enabled video analytics. Debraj collaborates with partners ranging from startups to Fortune 500 companies to market AI applications that drive safety and efficiency gains. He holds an MBA degree from Haas School of Business, University of California, Berkeley and a Master's degree in Computer Science from Cornell University.

Posts by Debraj Sinha

JAKARTA, Indonesia - December 17, 2019: Tilted top down horizontal view of a fountain in the middle of a roundabout in Jakarta city at sunny morning.
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Metropolis Spotlight: Sighthound Enhances Traffic Safety with NVIDIA GPU-Accelerated AI Technologies

Using NVIDIA pretrained models and the Jetson edge AI platform, a computer vision innovator accelerates game-changing traffic management in Denver. 3 MIN READ
Image of Jetson AGX Xavier
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Manufacturing the Future of AI with Edge Computing

Read how the power of AI and edge computing is critical to driving operational efficiencies and productivity gains. 5 MIN READ
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Edge Computing is Essential to Building Smarter and Safer Spaces

A new generation of AI applications at the edge is driving incredible operational efficiency and safety gains across a broad range of spaces. Read how the power… 5 MIN READ
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Metropolis Spotlight: Viisights Uses AI to Understand Behavior and Predict What Might Happen Next

Developers can use the new viisights wise application powered by GPU-accelerated AI technologies to help organizations and municipalities worldwide avoid… 6 MIN READ
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Metropolis Spotlight: INEX Is Revolutionizing Toll Road Systems with Real-time Video Processing

INEX Technologies, an NVIDIA Metropolis partner, designs, develops, and manufactures comprehensive hardware and software solutions for license plate recognition… 2 MIN READ
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Metropolis Spotlight: Nota Is Transforming Traffic Management Systems With AI

Nota, an NVIDIA Metropolis partner, is using AI to make roadways safer and more efficient with NVIDIA's edge GPUs and deep learning SDKs. < 1