Leonardo Gigli
R&D Engineer at The Cross Product
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolLeonardo Gigli is an R&D engineer based in Paris with a PhD in Mathematical Morphology from Mines ParisTech and 11 years of experience bridging research and product engineering. His thesis on graph-based hierarchical analysis and 3D point clouds reflects deep expertise in computer vision, hierarchical representations, and ML applied to road-environment data. At The Cross Product he translates advanced academic methods into practical R&D solutions, building on prior software and front-end roles that give him full-stack sensibilities. He combines rigorous mathematical training from ENS Paris-Saclay and Pisa with hands-on industry experience, uniquely positioning him to move innovations from prototype to production. An understated strength is his focus on graph-structured approaches, which enables scalable interpretation of large spatial datasets often overlooked in standard vision pipelines.
11 years of coding experience
2 years of employment as a software developer
Laurea triennale, Matematica, 105/110, Laurea triennale, Matematica, 105/110 at Università di PisaMaster M2, MVA, Master M2, MVA at École normale supérieure Paris-SaclayDoctor of Philosophy - PhD, Mathematical Morphology, Doctor of Philosophy - PhD, Mathematical Morphology at Mines Paris
English, Italian, French
Github Skills (44)
rendering10
multimodal-deep-learning10
pointnet10
odometry10
segmentation10
computer-graphics10
pytorch-geometric10
point-cloud10
image9
visualization9
pytorch9
python9
cluster-computing9
machine-learning9
semantic-segmentation9
Programming languages (5)
Github contributions (5)
liubigli/torch-points3d
May 2021 - Mar 2022
Pytorch framework for doing deep learning on point clouds.
Contributions:7 pushes, 1 branch in 10 months
pytorchpoint-cloudsdeep-learningpointpointnet
liubigli/SST
Nov 2018 - Jan 2020
Contributions:24 pushes, 3 branches in 1 year 1 month
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