Guilherme Aramizo Ribeiro
Robotics Software Engineer @ Machina Labs
About
I'm a Mechatronics Engineer with over 10 years of experience in research and product design, specializing in Controls, Computer Vision, and Hardware-Software Integration. I've developed robotic prostheses capable of mimicking biological motion and visual perception, utilizing advanced system identification and image processing techniques. My experience includes creating vision systems for drones, training AI models for medical devices, designing mechatronics solutions for autonomous vehicles, and providing electromagnetic test equipment for military, aerospace, and automotive industries. Passionate about innovation, I regularly build personal projects integrating Mechanical, Electrical, and Software skills—such as a 3D-printed module to operate window blinds via Alexa. Interested in collaborating? Connect at garamizo91@gmail.com or github.com/garamizo. Skills: System Identification, Controls, Computer Vision, Robotics, EMC/EMI, CAD, LTSpice, Technical Writing, Teaching.
United States
Los Angeles
Electrical & Electronic Manufacturing
Automation, Real-time Control Systems, Control Systems, Robot Programming, Electromechanics, Mechanical Engineering, Requirements Analysis, Systems Engineering, Circuit, Kinematics, 3D Scanning, Metrology, Control Systems Design, Modeling and Simulation, Onshape, 3D Printing, Product Design, Computer-Aided Design (CAD), Firmware, Embedded Software
Experience

Mechatronics Engineer
Los Angeles, California, United States
• Led company accreditation for ISO/IEC 17025, ensuring compliance with industry standards • Developed work instructions, documentation, and training programs for efficient test procedures • Automated test procedures and report generation to streamline processes • Derived and assessed product requirements from EMC standards to enhance product quality • Tested loop antennas (sensors and radiators) used in radiated succeptibility tests

Independent Mechatronics Engineer | Robotics | Vision
Los Angeles, California, United States
- Built a mobile app to track the growth of plants, connected to an IP camera - Designed and 3D-printed an electromechanical module to operate window blinds via Alexa voice commands using an ESP32 microcontroller with Wi-Fi, with a total cost lower than $20 - Developed a Monte Carlos Tree Search AI in C# to play a board game, trained YOLOv8 and EfficientNet to detect the physical game boards from pictures with inference time under 0.8 s - Won ML Kaggle award that predicted the results of the NCAA March Madness tournament using a Deep Neural Network on TensorFlow, placed 92nd out of 1023 competitors - Authored and published 10+ 3D printed models and 3 other larger projects

Mechatronics Engineer | Mechanical Design, Software Development
Gardena, California, United States
Visual Detection of Containers for Industrial Automation - Programmed an object detection algorithm in Python with OpenCV for an industrial robot, achieving positional accuracy ±1mm/±0.1° and inference time under 50 ms - Scripted test procedure driving a Universal Robot manipulator and a Keyence sensor on a Linux computer Instrumentation and Automation of Electric Vehicles - Built and controlled a fault-tolerant brake-by-wire system for an electric truck via CAN and Simulink - Led a team of engineers and machinists to instrument an Electric Car in 3 months with a $200k budget Design-Build of a Smart Energy Storage System - Designed, drafted, and procured parts for milling, laser-cutting, 3D-printing of a 100 kW safety-critical Energy Storage System resistant to a thermal runaway failure using SolidWorks and Altair Inspire FEA

Staff Researcher | Robotics, Controls
West Lafayette, Indiana, United States
- Assembled 5+ robotic platform models, wiring and soldering strain gauges bridge, IMU via SPI, rotary encoder, EMG sensors, and motor driver to microcontrollers, and cameras to Single Board Computers - Mentored 4 grad students and trained 60+ undergrad students to use industrial machines like PLC and HMI Visual Perception and Control of a Robotic Foot Prosthesis - Programmed with ROS and C++ a foot prosthesis with an Admittance Controller and a Kalman Filter to replace the motor’s friction and inertia dynamics with humanoid ankle dynamics - Developed algorithms using Time-Of-Flight (TOF) camera to aid robot navigation, detecting walkable terrains by fitting planar patches with point clouds and PCL presenting results in 3+ technical conferences

Graduate Research Assistant | System Identification, Modeling
Houghton, Michigan, United States
- Automated classification of burn scar images of pediatric patients with accuracy on par with human surgeon experts by creating a healthcare image dataset with clinicians at Children’s Hospital of Michigan, Detroit System Identification of the Human Ankle Dynamics - Modeled a time-varying mechanical impedance of the ankle characterizing with MATLAB signal processing such as MLE, Least Squares, and power spectral density, resulting in 20+ scientific publications - Created LabVIEW programs for data acquisition and system identification of 50+ human walking tests Aerial Defense with Unmanned Autonomous Vehicles (UAV) - Retrofitted bird net launchers into UAV-hunter to capture other UAVs, implementing tracking algorithms in C++ using a stereo camera StereoLabs ZED on a NVIDIA Jetson computer at a 50 fps rate - Simulated the control and path planning of UAVs using Gazebo simulator to increase development time
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