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Degree in Computer Science in Florence. Automation and Robotics methods with middleware ROS. Machine Learning for robotic system. C, C++, Python, Java, SQL.
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pose-estimation-kalman
July 8, 2023 – July 9, 2023
Solution of Pose estimation problem for aruco marker with a Kalman Filter.
View Projectparticle-segmentation-detector
April 21, 2023 – June 13, 2023
Blob Detector for particles in microscope slide with segmentation techniques.
View Projectgenvid-minimal
January 14, 2023 – February 9, 2023
A minimal video generator with figures and routes. Useful for dataset creation in object detection field.
View Projectarm-manipulator-5dof
September 28, 2021 – February 17, 2022
Implementation of 5 DOF Arm Manipulator with Simulink.
View ProjectVxWorks_basics
May 29, 2021 – June 1, 2021
This repo represents my first fun approach to Embedded programming.
View Projectrover-Raspberry-VxWorks
April 26, 2021 – January 27, 2022
Embedded Software to develop a "like-rover" project with Raspberry Pi, VxWorks and Oris.
View Projectparticle-swarm-global-optimization
February 13, 2021 – June 5, 2021
A simple Particle Swarm algorithm implementation in python for exam of global optimization.
View Projectmorphological-image-processing
January 11, 2021 – June 21, 2021
Mathematical morphology (MM) technique implemented in sequential and parallel methods for study purposes.
View ProjectFuruta_pendulum
October 18, 2020 – May 10, 2021
Model the Furuta Pendulum with Simulink and Matlab.
View ProjectAUV_feedback_linearization_controller
July 15, 2020 – June 3, 2021
Feedback Linearization Controller for Autonomous Underwater Vehicle
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and applying technical skills. The diversity of projects, ranging from embedded systems to image processing and optimization, suggests a broad technical curiosity. This aligns well with a culture that values continuous learning and problem-solving.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.