Tanveer Hannan

Solution Architect at NVIDIA

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Tanveer Hannan is a Solution Architect at NVIDIA with 10 years of experience building multimodal AI systems, specializing in vision-language and action models for robotics. He brings a strong research-to-product track record from LMU Munich, Microsoft and Huawei, focusing on long-video understanding, reliable vision-language models and efficient AI for edge and Copilot-enabled devices. His background spans deep learning, computer vision and NLP—anchored by ongoing PhD work—and practical systems like video object segmentation and text-to-video retrieval for autonomous driving. Based in Munich, he bridges academic rigor and industry deployment, often optimizing models for constrained devices and real-world safety scenarios. An understated strength is his ability to translate long-form video and multimodal research into scalable architectures for robotics and edge applications.
code10 years of coding experience
job5 years of employment as a software developer
bookPhD, Deep Learning, Computer Vision, NLP, PhD, Deep Learning, Computer Vision, NLP at Ludwig-Maximilians-Universität München
bookBachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Bangladesh University of Engineering and Technology
languagesEnglish
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Github Skills (27)

memory-management8
memory-allocation7
garbage-collector7
text-recognition7
rust6
object-detection5
linux5
ocr5
windows5
toolbox5
text-detection4
computer-vision4
instance-segmentation3
garbage-collection3
pytorch2

Programming languages (4)

JavaRustJupyter NotebookPython

Github contributions (5)

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Tanveer81/BoxVOS

Feb 2022 - Nov 2022

Contributions:10 commits, 7 pushes, 1 branch in 9 months
Contributions:23 pushes, 1 branch in 2 years
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Tanveer Hannan - Solution Architect at NVIDIA