Amir Ghodrati
Senior Engineer at Qualcomm
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolAmir Ghodrati is a Senior Engineer based in Amsterdam with a decade of experience at the intersection of computer vision and deep learning, specializing in video understanding and temporal modeling. He holds a Ph.D. in Computer Vision from KU Leuven and combines academic rigor with industrial impact through roles at Qualcomm and as a postdoctoral researcher at the University of Amsterdam. His early work on practical systems—such as license plate recognition and velocity estimation—illustrates a pattern of turning research ideas into deployable solutions. At Qualcomm he has focused on applying temporal deep learning techniques to real-world video problems, bridging prototype research and production constraints. Known for blending theoretical depth with engineering pragmatism, he brings both long-term research perspective and hands-on system-building experience to complex vision problems.
10 years of coding experience
2 years of employment as a software developer
Amirkabir University of TechnologyDoctor of Philosophy (Ph.D.), Computer Vision, Doctor of Philosophy (Ph.D.), Computer Vision at Katholieke Universiteit LeuvenMaster’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at Sharif University of Technology
Persian, English, Spanish, Dutch
Github Skills (3)
youtube3
machine-learning3
deep-learning2
Programming languages (1)
Github contributions (4)
aghodrati/deepproposal
Dec 2015 - May 2016
Contributions:12 commits, 14 pushes, 1 branch in 5 months
aghodrati/aghodrati.github.io
Oct 2016 - Jul 2018
Contributions:10 pushes, 1 branch in 1 year 9 months
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