Cao Vu Clovis B.

Lead Developer

4310 dollar
8 years

My experience


LTUJuly 2019 - Present

* Lead and contribute to a research team developing new pipeline for Content Based 3D Object Retrieval, including 3D Object Reconstruction, Indexation, Search and Filter.
* Develop this highly accurate 3D computer vision processing module as well as partnering cross-functionally with teams such as Product and Engineering.
* Define and execute research roadmap, decompose production requirements into a set of engineering, experiment with new processing techniques, and ensure key requirements are understood and key deliverables, across the entire product, are met.

Levels3DFebruary 2014 - July 2019

Being responsible for research activity, take charge of the development as well

as the evolution of the company's software product.

* An evolution of the reconstruction project of existing interior environments, the process of modeling primitive elements is accelerated via the semantic segmentation of Deep Learning. A neural network is developed using a private database. The delivered model is integrated into the existing Automodel3D
module in order to infer and extract primitive elements.

* Knowledge Techniques:
* Semantic segmentation, 3D object classification
* PointNet ++, PointCNN convolutional neural networks

Levels3DFebruary 2015 - February 2019

* In the CIFRE thesis at Levels3D, I researched algorithms and methods of reconstruction of a 3D presentation, then implemented them to build a system allowing to reconstruct in real time a 3D model of an existing interior environment by a specific smartphone or tablet by making acquisition movements of 6 degrees of freedom.
This system also makes it possible to automatically extract 2D architectural plans from the point cloud or from the resulted mesh by defining / or not a section plane.

■ Technical knowledge:
• Computer vision, image processing
• 3D acquisition, 3D reconstruction
• 3D modeling, algorithmic geometry
• Calculation optimization, architectural design
• Design patterns, object oriented programming

■ Technologies used:
• C, C ++ 11, STL, RTTI, Smart pointers
• Objective C, iOS, Accelerate

My stack

Analysis methods and tools

Functional Programming, JIRA, Design Patterns, Scrum

IT Infrastructure

iOS, Git




OpenCV, OpenGL

Machine Learning

Neural networks




Image Processing




C++, OOP, UML, STL, Objective-C, C/C++

My education and trainings

Doctor of Philosophy, Engineering Science - Université de Technologie de Troyes2015 - 2018

Engineer's degree - Product Engineering - Grenoble INP - Génie industriel2010 - 2013

- Danang University of Science and Technology2007 - 2010