Amado Antonini

Director Of Robot Perception at OpenSpace

Greater Boston United States
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Summary

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Senior
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Top School
Amado Antonini is a robotics perception leader with 11 years of experience, currently directing Robot Perception at Symbotic while also contributing as a Senior Machine Vision Engineer at OpenSpace and founding autonomous vehicle startup AuTurn. He combines hands-on C++ and Python engineering with strategy, having extended the widely used GTSAM library to expose advanced GNC parameters to Python and added unit tests to improve reliability. An MIT BS/MS graduate, he thrives on solving hard perception and mapping problems and translating research-grade tools into production-ready systems. Based in Greater Boston, he balances technical rigor with entrepreneurial drive and a people-first leadership style. Colleagues know him as relentless and detail-oriented, with a personal mission to make a positive difference for those around him.
code11 years of coding experience
bookBachelor of Science - BS, Bachelor of Science - BS at Massachusetts Institute of Technology
bookOzarks Technical Community College
languagesSpanish, English, French, Italian, German
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Github Skills (6)

nonlinear-optimization10
c-language10
robotics10
cprogramming-language10
python10
unit-testing9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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borglab/gtsam

Jun 2022 - Jul 2022

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
userBack-end Developer
Contributions:5 reviews, 26 commits, 11 comments in 1 month
Contributions summary:Amado primarily focused on extending the functionality of the GTSAM library, specifically exposing parameters and attributes to Python. Their contributions included modifying C++ code to enable access to GNC (Generalized Gauss-Newton) parameters within the Python environment. The user also added unit tests to validate the exposed parameters and attributes. Furthermore, they addressed review comments and formatted code for improved readability.
cppgtsamroboticsestimationperception
amadoantonini/Precision-5510

Nov 2019 - Jan 2022

Contributions:8 pushes, 1 branch in 2 years 1 month
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