Aleksandrs Ecins
Roboticist Applied Scientist at RAI Institute
Switzerland
Summary
👤
Senior🎓
Top SchoolAleksandrs Ecins is a Roboticist and Applied Scientist with 12 years of experience building 3D perception and calibration systems that make robots reliable in everyday human environments. Currently at the RAI Institute, he focuses on foundation models for 3D perception after roles at Meta and multiple perception and calibration positions at Zoox where he shipped infrastructure-free sensor calibration and robust mapping solutions. His PhD work at University of Maryland tackled model-free object segmentation and 3D reconstruction using symmetry priors, bridging theoretical vision research with practical robotics. A long-time contributor to point cloud tooling, he has enhanced visualization and colormap support in prominent open-source libraries like the Point Cloud Library and cilantro, improving how researchers and engineers analyze spatial data. Based in Switzerland with an MEng from Imperial College London, he blends academic rigor and production-grade engineering to turn geometric insight into deployable systems. Colleagues describe him as someone who pairs deep geometry intuition with pragmatic software craftsmanship, often surfacing subtle visualization and usability improvements that accelerate downstream research.
12 years of coding experience
12 years of employment as a software developer
MEng Electrical and Electronic Engineering, MEng Electrical and Electronic Engineering at Imperial College London40. VidusskolaPhD Computer Vision, PhD Computer Vision at University of Maryland
Russian, Latvian, French, Spanish, English
Github Skills (14)
pcl10
computer-vision10
point-cloud-library10
c-language10
visualization10
vtk10
visualizations10
point-cloud10
cprogramming-language10
3d10
pca8
registers7
registrar7
registrator7
Programming languages (2)
Github contributions (5)
PointCloudLibrary/pcl
Jun 2016 - Aug 2016
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 20 comments in 1 month
Contributions summary:Aleksandrs primarily focused on enhancing the visualization capabilities within the Point Cloud Library (PCL). They implemented and extended colormap functionality, including adding new colormap types and providing options to modify the range of the color mapping. This work involved modifications to both the core visualization components and the PCL visualizer, affecting how point clouds and shapes are rendered and visualized. These changes allow more flexible data representation and improved analysis capabilities.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
kzampog/cilantro
May 2017 - May 2017
A lean C++ library for working with point cloud data
Role in this project:Backend Developer
Backend DeveloperContributions:8 commits in 16 days
Contributions summary:Aleksandrs primarily focused on improving the `cilantro` library's functionality. Their contributions included adding convenience methods to the `PointCloud` class, improving const correctness across multiple files, and updating the `ply_io_example` to enhance path handling. They also added colormaps and methods to visualize scalar fields. The changes involved core data structures and I/O operations related to point cloud processing.
k-meanshierarchicalspectral-clusteringmdsiterative-closest-point
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.