Rodrigo Gonzalez
AI Engineer at Nimble Gravity
Mendoza, Mendoza, Argentina
Summary
👤
Senior🎓
Top SchoolRodrigo Gonzalez is an AI Engineer and Ph.D. in Robotics based in Mendoza, Argentina, with over a decade of industry experience and a 20+ year IT background bridging research and production. He designs and deploys generative AI and LLM systems for real-world problems—from healthcare claims fraud explainability to industrial vision defect detection—while teaching AI and control systems at two universities. His research and hands-on work span deep learning for visual odometry, bias compensation for low-cost IMUs, time series forecasting, and FPGA/Kalman-filter navigation, reflected in open-source contributions like enhancements to an INS toolbox for inertial sensor analysis. Comfortable moving between embedded firmware, Python/R pipelines, and cloud services, he excels at turning academic methods into operational systems that reduce risk and add explainability. Colleagues value him for combining rigorous academic depth with practical delivery across cross-functional teams and international collaborations.
12 years of coding experience
11 years of employment as a software developer
Ph.D. in Robotics Robotics Navigation systems Data Analysis Data Modeling, Ph.D. in Robotics Robotics Navigation systems Data Analysis Data Modeling at Universidad Nacional de San JuanBSc. in Electronics Engineering Electronics Engineering Embedded systems, BSc. in Electronics Engineering Electronics Engineering Embedded systems at Universidad Tecnológica Nacional
English
Github Skills (5)
matlab10
sensor10
kalman-filter10
data-processing10
linear-algebra9
Programming languages (6)
Github contributions (5)
rodralez/NaveGo
Sep 2013 - Dec 2022
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 2 reviews, 521 commits in 9 years 4 months
Contributions summary:Rodrigo contributed to the development of an open-source MATLAB/GNU Octave toolbox focused on processing integrated navigation systems. The primary focus of the commits involved modifications to the `ins.m` file, which is a core component for processing integrated navigation and inertial sensors analysis. The user made several enhancements including fixes related to bias, orientation update, quaternion update, and velocity updates within the Kalman filter framework.
sensorssimulation-frameworkintegrated-navigationgnuoctave
td3-frm/practica
May 2014 - Nov 2022
Archivos de la parte práctica de la cátedra de Técnicas Digitales III, Universidad Tecnológica Nacional, Facultad Regional Mendoza, Argentina.
Contributions:166 commits, 31 PRs, 104 pushes in 8 years 6 months
universidadregionaliii
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