Katja Sirazitdinova
Senior Developer Advocate
Dubai, Dubai, United Arab Emirates
Summary
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Senior🎓
Top SchoolKatja Sirazitdinova is a Senior Developer Advocate and deep learning engineer with a PhD in Medical Informatics and six years of industry experience translating computer vision research into production AI solutions. Her background spans image-based 3D reconstruction and medical imaging research to five years at NVIDIA where she helped customers optimize and deploy models across data center GPUs and edge devices. She excels at turning complex AI concepts into actionable guidance for developers, with hands-on expertise in PyTorch, CUDA, and end-to-end deployment pipelines. Prior roles in clinical and academic settings give her a rare combination of rigorous research instincts and product-focused engineering, including building interactive prototypes for medical imaging workflows. Based in Dubai, she is particularly skilled at bridging the gap between cutting-edge generative and vision models and real-world applications in healthcare and enterprise.
6 years of coding experience
6 years of employment as a software developer
Diploma Business Informatics, Diploma Business Informatics at Baikal State UniversityDoctor of Philosophy - PhD Medical Informatics, Doctor of Philosophy - PhD Medical Informatics at RWTH Aachen University
Russian, English, German, Japanese
Github Skills (26)
nvidia-docker10
tensorrt10
inference10
nvidia10
triton10
machine-learning9
gpu9
deep-learning9
gesture-recognition8
detection-model8
nvidia-jetson7
transfer-learning6
sdk6
pipeline6
deepstream6
Programming languages (3)
Github contributions (5)
katjasrz/deepstream_tao_interactive
Feb 2022 - Sep 2022
Contributions:5 commits, 4 pushes, 4 branches in 6 months
NVIDIA-AI-IOT/gesture_recognition_tlt_deepstream
Mar 2021 - Apr 2021
A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, repurpose it for hand detection using Transfer Learning Toolkit 3.0, and use it together with the purpose-built gesture recognition model. Once trained, we deploy this model on NVIDIA® Jetson™ using Deepstream SDK.
Contributions:11 commits, 2 PRs, 8 pushes in 1 month
hand-detectiondeepstreamtensorflownvidia-jetsonrepurpose
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