Matteo Munaro
Senior Director, Machine Learning at Cox Automotive Inc.
Padua, Veneto, Italy
Summary
👤
Senior🎓
Top SchoolMatteo Munaro is a Senior Director of Machine Learning with 13 years of experience bridging academic research and product-grade computer vision systems across e-commerce, robotics, surveillance and underwater mapping. He holds a PhD from the University of Padua and has led research teams at Fyusion before moving to Cox Automotive, applying RGB‑D, sensor fusion and 3D reconstruction techniques to real-world problems. His technical strengths include people detection, tracking and re‑identification, RGB‑Depth processing, and laser‑triangulation for 3D mapping, with notable open-source contributions to the Point Cloud Library and a practical ROS driver for Point Grey cameras. Matteo combines low-level optimization (SSE2, image/point-cloud preprocessing) with system-level design for production ML, and has a track record of improving both algorithmic accuracy and runtime performance. He often works remotely across international research collaborations and brings rare depth in underwater imaging alongside mainstream vision applications. Colleagues describe him as a research-first engineer who reliably turns academic innovations into robust, deployable solutions.
13 years of coding experience
13 years of employment as a software developer
PhD in Information and Communications Technology, Master Degree in Automation Engineering, Bachelor Degree in Automation Engineering, PhD in Information and Communications Technology, Master Degree in Automation Engineering, Bachelor Degree in Automation Engineering at Università degli Studi di Padova
Università degli Studi di Padova
Università degli Studi di Padova
Italian, English, French, Spanish, German
Github Skills (12)
pcl10
camera10
computer-vision10
embedded10
point-cloud-library10
c-language10
driver10
cpp10
cprogramming-language10
point-cloud10
sys10
ros10
Programming languages (1)
Github contributions (5)
PointCloudLibrary/pcl
Mar 2013 - Feb 2015
Point Cloud Library (PCL)
Role in this project:
Software Engineer (with a focus on Computer Vision)
Software Engineer (with a focus on Computer Vision)Contributions:18 commits, 1 PR, 2 comments in 1 year 11 months
Contributions summary:Matteo primarily contributed to the `people` module within the Point Cloud Library (PCL). They refactored and optimized code related to the Histogram of Oriented Gradients (HOG) descriptor, including bug fixes and performance improvements using SSE2 instructions. Furthermore, they added unit tests for the `GroundBasedPeopleDetectionApp` and `PersonClassifier` to improve the module's testing coverage. The user also added the possibility to downsample the point cloud as a preprocessing step for increasing speed.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
ros-drivers/pointgrey_camera_driver
Sep 2014 - Sep 2014
ROS driver for Pt. Grey cameras, based on the official FlyCapture2 SDK.
Role in this project:Embedded Systems Engineer
Embedded Systems EngineerContributions:5 commits in 4 days
Contributions summary:Matteo primarily focused on enhancing the ROS driver for Point Grey cameras by adding GigE camera support. They implemented the ability to configure GigE packet size and packet delay, improving network performance and allowing for customization. Furthermore, they modified the code to support raw and mono pixel formats with any video mode. Finally, they removed modifications to binning parameters to align with image processing.
ros2greycameraslam-algorithmsc-plus-plus
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.