Summary
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.
10 years of coding experience
5 years of employment as a software developer
PhD, Deep Learning, Computer Vision, NLP, PhD, Deep Learning, Computer Vision, NLP at Ludwig-Maximilians-Universität München
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Bangladesh University of Engineering and Technology
English