Stefano Tonini

Master engineering student in Mechatronics, specializing in system identification and analysis. Passionate about developing innovative technological solutions in the fields of control systems, automation, and robotics.

• KTH Royal Institute of Technology, Stockholm (2024 - 2025)

  Master’s Degree in Mechatronics Engineering - Electronics and Robotics Specialisation

• Università degli Studi di Trento, Italy (2023 - 2024)

  Master’s Degree in Mechatronics Engineering - Electronics and Robotics Specialisation

• Università degli Studi di Trento, Italy (2020 - 2023)

  Bachelor’s Degree in Industrial Engineering - System Specialisation

• Liceo Scientifico Da Vinci, Italy (2015 - 2020)

  Scientific High School Diploma

• Research Engineer, ABB (January 2025 - Present)

  • Working on Safe Exploration of Non-linear system using machine learning models and automatic control theory.

• Software Developer, Threpsy (May 2024 - January 2025)

  • Collaborated with cross-functional teams to tailor AI solutions for individual nutritional needs using machine learning models.
  • Improved the scalability of machine learning models, resulting in a 35% increase in solution accuracy and client satisfaction.

• Freelancer (Private Tutor), 2022 - Present

  • Provided tutoring in mathematics and physics, helping students improve their grades by 25% on average.

• Rider, Deliveroo (November 2020 - June 2021)

  • Maintained a 98% customer satisfaction rate by delivering orders efficiently and promptly.

• Office Worker, Automobile Club Trento - ACI (August 2019 - September 2019)

  • Managed administrative tasks such as data entry, filing, and record keeping in a fast-paced office environment.

• Children's Entertainer, Gardolo Swimming Pool (June 2019 - August 2019)

  • Organized games and activities for children, increasing participation in events by 30%.

• University of Trento - Mechatronics Simulation, University of Trento (May 2024 - July 2024)

  • Modeled and simulated a battery system using Maple to study and optimize the charging and discharging cycles for energy efficiency.
  • Developed a 2 Degrees of Freedom (2 DOF) robotic mechanism in Maple, simulating the kinematic and dynamic behaviors to evaluate its performance and response under various conditions.

• Torque Control of a DC Motor (Bachelor Thesis), Università di Trento (May 2023 - September 2023)

  • Built a real-time control system using MATLAB and Arduino IDE, achieving 96% accuracy in system identification.
  • Enhanced motor control accuracy by 15% through feedback loops.
  

• Accelerometer Design and Implementation with IoT Integration, University of Trento (May 2022 - September 2022)

  • Developed a fully functional accelerometer from scratch, resulting in a 90% reduction in signal noise and a 20% improvement in response time, by utilizing electronic circuit design skills and tools like KiCad and MATLAB.
  

• Technical: MATLAB, Arduino, RStudio, MS Office, Wolfram Mathematica, Simulink, LaTeX, AutoCAD, AMPL, Python, C++, C
• Programming Languages: Python, C++, Swift, C#, LaTeX

• Problem-solving
• Team collaboration
• Communication and interpersonal skills
• Adaptability and flexibility
• Attention to detail
• Time management and organization
• Critical thinking

• Italian: Native
• English: Fluent (C1 level)
• German: B1 level

• Won StartUp Lab 2024 with the Threpsy team, ranked out of 74 participants for innovation and impact.
• Played soccer for 11 years in Virtus Trento, now enjoys fitness and gym activities.
• Active participant in AI/ML workshops and cloud computing seminars to stay updated on industry trends.