Years of professional experience
Simone Contorno
Summary
Robotics innovator with a strong academic foundation in AI, robotics, and software development. Skilled in independent and team-based projects to enhance design, development, and testing of robotic systems. Experienced in ROS 2, model predictive control, and automation, with proficiency in Python and C++. Currently focused on studying and applying ML models to intelligent systems. Passionate about the applications of AI and robotics, actively seeking opportunities to contribute to technological advancements and collaborative problem-solving. Fluent in English, based in Germany, open to exploring international roles for meaningful impact.
Overview
2
2
4
4
Certifications
3
3
Degrees
Work History
Test and Integration Engineer
Enginium S.r.l.
11.2023 - Current
- Collaborated effectively with cross-functional, international teams to achieve testing and integration goals
- Automated 75% of checklist-based tests by developing a Python wrapper and macros (trace collection, prompt commands, built-in methods calls), demonstrating strong programming and automation skills
- Executed software verification 2+ times per week for electronic central units through flashing and diagnosis, and trained a new team member to accomplish these tasks
- Provided daily on-vehicle support for diagnostic and communication testing
- Conducted preliminary Wireshark traces and Android Debug Bridge bug report analysis
- Experience with Jira for test creation, planning, monitoring, and report generation, following the Agile methodology
Master Thesis Internship
LS2N
02.2023 - 08.2023
- Developed and implemented a Nonlinear Model Predictive Control for autonomous vehicles in ROS 2 using C++, focusing on software development operations, testing, real-time system optimization, and potential scalability
- Conducted code reviews and debugging during system integration, ensuring optimal software performance in dynamic environments
- Conducted testing on real vehicles (ROSbot 2R and Renault Zoe), addressing virtual static and dynamic obstacles
Education
MSc - Robotics Engineering & Advanced Robotics
University of Genoa
08.2023
BEng - Computer Engineering
University of Genoa
06.2021
Skills
- Software Engineering
- Robotics Engineering
- Python Programming
- C Programming
- ROS Frameworks
- Machine Learning Techniques
- Deep Learning Techniques
- Keras Model Development
- Git Version Control
- Linux Operating System
- Adaptability
- Analytical Problem-Solving
Certification
- Deep Learning with Keras and Tensorflow Training, IBM - 02/2025
- Introduction to Deep Learning & Neural Networks with Keras Training, IBM - 01/2025
- Machine Learning with Python Training, IBM - 01/2025
- Certified Tester Foundation Level, ISTQB - 10/2024
Languages
Italian
Bilingual or Proficient (C2)
English
Upper intermediate (B2)
French
Elementary (A2)
German
Beginner (A1)
Timeline
Test and Integration Engineer
Enginium S.r.l.
11.2023 - Current
Master Thesis Internship
LS2N
02.2023 - 08.2023
BEng - Computer Engineering
University of Genoa
MSc - Robotics Engineering & Advanced Robotics
University of Genoa
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