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Ekaterina Sirazitdinova

Data scientist for computer vision, video analytics and deep learning at NVIDIA

Ekaterina Sirazitdinova

Research engineer focusing on deep learning, computer vision and inference optimization.

During her PhD studies, Katja was mainly working on the tasks of image-based 3D reconstruction and tracking, and afterwards spent some time doing research in deep learning for medical image analysis. She works as a data scientist at NVIDIA now, helping customers to solve their computer vision and video analytics problems. She also specializes in machine learning inference optimization and deployment of AI models on data center GPUs as well as in embedded / edge devices.

Join Katja at GOTO Copenhagen and learn how to leverage this approach to achieve real-time inference performance by using software tools like DeepStream SDK, TensorRT and Triton Inference Server.

Content featuring Ekaterina Sirazitdinova

What's the Life Cycle of a Data Scientist?
What's the Life Cycle of a Data Scientist?
GOTO Unscripted
46:32
Best Practices for Real-time Intelligent Video Analytics
Best Practices for Real-time Intelligent Video Analytics
GOTO Copenhagen 2021
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