Emanuele Vespa
Staff Computer Vision Engineer at Magic Leap
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolEmanuele Vespa is a Staff Computer Vision Engineer based in Zurich with 11 years of experience building SLAM, dense 3D reconstruction, and embedded optimization systems. At Magic Leap he has led the delivery of production-grade XR perception features, notably the industry-first vision-based controller for Magic Leap 2, bridging research prototypes into shipped product. Trained with a PhD and MRes from Imperial College London, he combines rigorous academic grounding with hands-on low-level systems work and cross-disciplinary engineering. He thrives on both high-level algorithm design and diving into embedded optimization when performance matters, making him effective across the full perception stack. A background of research internships at Microsoft and ARM highlights his ability to translate cutting-edge ideas into practical engineering outcomes.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Imperial College LondonBachelor's degree Computer Science, Bachelor's degree Computer Science at Università degli Studi di CagliariMaster of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Università di Pisa
English, Italian
Github Skills (28)
robotics10
geometry10
topological-data-analysis10
eigen10
octree10
python-bindings10
python9
pipeline9
3d9
high-performance9
2d9
computer-vision9
cpp8
math8
valgrind2
Programming languages (2)
Github contributions (5)
emanuelev/supereight
Aug 2018 - Jul 2019
supereight: a high performance template octree library and a dense volumetric SLAM pipeline implementation
Contributions:151 commits, 26 PRs, 132 pushes in 11 months
pipelinevolumetricperformanceoctreehigh-performance
emanuelev/dotfiles
Sep 2016 - Sep 2019
Contributions:2 pushes, 2 branches in 3 years
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