Lorenzo Riano
Principal Machine Learning Engineer at Voxel51
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolLorenzo Riano is a Principal Machine Learning Engineer with 15 years of experience building robust, real-world robotics and perception systems from research to deployment. He has led cross-functional teams and shipped production ML and computer vision solutions at companies including Waymo, Zoox, Anki, Bosch, and startups solving factory automation and quality inspection. Lorenzo specializes in autonomy, long-range perception, sensor fusion, and precise monocular pose estimation, with hands-on expertise deploying models on embedded and vehicle platforms. He emphasizes moving beyond prototypes to operational systems—designing AWS ML infrastructure, end-to-end data pipelines, and on-board deployment workflows. An open-source contributor to rosserial, he has fixed low-level embedded issues that improved stability for Arduino-class devices, reflecting his breadth from firmware to cloud. Based in San Francisco, he pairs a PhD in Robotics with a pragmatic focus on robustness, adaptability, and demonstrable real-world impact.
15 years of coding experience
14 years of employment as a software developer
PhD Robotics, PhD Robotics at Università degli Studi di PalermoMSc Computer Science, MSc Computer Science at Università degli Studi di Napoli Federico II
English, Italian
Stackoverflow
89reputation
9kreached
1answer
1question
Github Skills (12)
embedded10
debug10
c-language10
cprogramming-language10
sys10
arduino10
ros10
operating-system10
memory-management9
python7
tensorflow-datasets6
tensorflow6
Programming languages (4)
Github contributions (5)
ros-drivers/rosserial
Sep 2013 - Sep 2013
A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:9 commits in 25 days
Contributions summary:Lorenzo primarily contributed to fixing alignment and initialization issues in the `rosserial` library, designed for embedded devices like Arduino. They addressed potential issues that could cause segmentation faults by fixing uninitialized arrays. The changes included modifications to the `make_library.py` file and the `node_handle.h` file to improve the robustness and stability of the library. Additionally, the user made modifications to prevent callbacks to be called even when a client program terminates a connection.
roboticsros2client-libraryarduinoembedded-devices
uu-isrc-robotics/uu-isrc-robotics-pr2-pkgs
May 2011 - Feb 2013
Contributions:130 commits in 1 year 9 months
roboticsintelligent-systemscognitive-roboticscognitiveros-packages
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