Sérgio Agostinho
Senior Research Engineer at NVIDIA
Munich, Bavaria, Germany
Summary
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Top SchoolSérgio Agostinho is a Senior Research Engineer based in Munich with 11 years of experience building computer vision and perception systems for robotics and autonomous vehicles. A Computer Vision PhD candidate and M.Sc. in Aerospace Engineering, he has led LiDAR perception teams at Argo AI and developed onboard detection and segmentation models for CARIAD before joining NVIDIA. He is a long-standing maintainer and contributor to the widely used Point Cloud Library (PCL), where he improved IO support and fixed cross-platform build and CMake issues—work that reflects deep expertise in low-level systems and 3D data formats. His background spans AR, SLAM, and graphics, informed by early projects at ESA and startups where he fused sensor fusion, calibration and EKF-based tracking for head-mounted displays. Sérgio combines rigorous research with production-grade engineering, often bridging academic advances and deployed perception stacks. An interesting facet of his profile is the blend of aerospace training and hands-on open-source stewardship, which helps him tackle both theory and tooling for real-world 3D perception.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Vision, Doctor of Philosophy (Ph.D.) Computer Vision at Instituto Superior Técnico
Portuguese, English
Stackoverflow
86reputation
6kreached
9answers
0questions
Github Skills (19)
pcl10
c-language10
point-cloud-library10
fileio10
file-handling10
file-processing10
file-access10
cprogramming-language10
point-cloud10
template-metaprogramming9
cmake9
data-structures8
data-structure8
vtk6
boost6
Programming languages (9)
Github contributions (5)
PointCloudLibrary/pcl
Aug 2015 - Aug 2020
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 94 reviews, 750 commits in 5 years 1 month
Contributions summary:Sérgio implemented template implementations for loading and saving point cloud data using various file extensions like PCD, PLY, and IFS, along with added support for OBJ format. They then refactored the code by moving the load and save functionalities into an auto_io module. Furthermore, the user addressed and fixed CMake build configurations, which included the addition of the -Wl,--as-needed flag.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
SergioRAgostinho/pcl
Feb 2016 - Aug 2020
Point Cloud Library (PCL)
Contributions:31 commits, 1 PR, 553 pushes in 4 years 7 months
point-cloud-librarypcl-librarypclpointply
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