Helisa Dhamo is a Computer Vision Engineer with eight years of experience spanning academia and industry, currently building perceptual systems at Apple in Munich after researching 3D vision as a Research Scientist at Huawei Noah’s Ark Lab. She earned a PhD summa cum laude from TU Munich focused on deep learning for computer vision and has worked on generative AI, 3D scene understanding, decomposition, and neural radiance fields. Comfortable moving research into production, she has experience across internships and research roles including Facebook and multiple positions at TUM, reflecting strong foundations in parallel programming and machine learning. Notably, her background blends high academic distinction with practical system-level skills, making her adept at both novel model development and scalable implementation.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Summa cum laude, Doctor of Philosophy - PhD, Computer Vision, Summa cum laude at Technical University of Munich
Master’s Degree, Computational Science and Engineering, Master’s Degree, Computational Science and Engineering at Technische Universität München
High School, 9.78, High School, 9.78 at Sami Frasheri High School
Bachelor's Degree, Computer Engineering, 9.44, Bachelor's Degree, Computer Engineering, 9.44 at Polytechnic University of Tirana
Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs
Contributions:3 commits, 3 pushes, 1 branch in 2 months
manipulationiccvend-to-end3d-scenesgraphs
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