Zeeshan Sardar

Zeeshan Sardar leads Deep Learning Systems at NVIDIA, focusing on neural network optimization and deployment for automotive OEMs, robotics, and edge AI platforms. With over 16 years of experience in automotive AI/ML, his work centers on bridging deep learning research with production-scale deployment across NVIDIA DRIVE and Tegra platforms. He is a Computer Engineering graduate from the University of Waterloo and has led large-scale AI programs spanning quantization, model architecture, and customer-facing technical strategy.
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Posts by Zeeshan Sardar

Computer Vision / Video Analytics

Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project... 15 MIN READ