Stefano Tonini

I am a Mechatronics Engineer specializing in safe machine learning, data-driven control, industrial automation, and robotics. My work focuses on designing and validating advanced control and machine-learning solutions for real-time systems, with applications in process control, automation, reinforcement learning, and embedded environments.

I have experience across research, R&D engineering, AI software development, and academic projects, combining control theory, simulation, machine learning, and real-world industrial deployment.

• R&D Associate Engineer, ABB — Västerås, Sweden

  September 2025 - Present

  • Designing and deploying data-driven control and safe ML solutions for real-time automation.
  • Validating methods through FMU-based simulation and integration with ABB 800xA and Expert Optimizer.
  • Working with APC/MPC systems to improve stability, reliability, and online safety.

• Research Intern, ABB — Västerås, Sweden

  January 2025 - September 2025

  • Developed data-driven control and safe ML data-collection methods for real-time industrial automation.
  • Validated models through simulation to improve system reliability and stability.

• Software Developer, Threpsy — Milan, Italy

  March 2024 - March 2025

  • Collaborated with nutritionists, data scientists, and cloud engineers to deploy scalable AI models.
  • Improved personalized meal-plan accuracy and client satisfaction by 35%.

• Bocconi 4 Innovation Program — Milan, Italy

  September 2024 - February 2025

  • Worked with industry experts to improve AI model deployment accuracy by 40%.
  • Focused on enhanced meal-plan customization and AI-driven product development.

• Private Teacher, Freelance — Trento, Italy

  November 2022 - June 2024

  • Provided customized tutoring in mathematics and physics.
  • Helped students improve exam scores by 25% on average.

• KTH Royal Institute of Technology — Stockholm, Sweden

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

  August 2024 - September 2025

  Relevant courses: Model Predictive Control, Artificial Intelligence, Scalable Machine Learning, Deep Learning.

• Aalto University — Helsinki, Finland

  Summer School: Digital Platform for Smart Cities

  August 2024

• University of Trento — Trento, Italy

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

  September 2023 - July 2024

  Relevant courses: Machine Learning, Robotics Perception and Action, Modeling and Simulation of Mechatronic Systems.

• University of Trento — Trento, Italy

  Bachelor’s Degree in Industrial Engineering — Systems Specialisation

  September 2020 - September 2023

• Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning

  Accepted for presentation at the 23rd IFAC World Congress, Busan, Korea — August 2026.

• KTH — Model Predictive Control for Astrobee

  October 2024 - August 2024

  • Developed a model predictive control framework for dynamic systems.
  • Achieved a 15% improvement in system stability in real-time embedded environments.

• University of Trento — Controller Design for UAV

  May 2024 - August 2024

  • Designed and implemented a robust UAV controller using state estimation and control algorithms.
  • Improved maneuverability by 20% in flight tests under varying conditions.

• University of Trento — Mechatronics Simulation

  May 2024 - July 2024

  • Modeled and simulated a battery system using Maple to optimize charging and discharging cycles.
  • Developed a 2-DOF robotic mechanism in Maple and simulated its kinematic and dynamic behavior.

• Torque Control of a DC Motor — Bachelor Thesis

  May 2023 - September 2023

  • Engineered a real-time DC motor control system using MATLAB and Arduino.
  • Achieved 96% transfer-function identification accuracy.
  • Improved motor control accuracy by 15% through microcontroller-based feedback.
  

• Accelerometer Design and Implementation with IoT Integration

  May 2022 - September 2022

  • Designed and implemented a fully functional accelerometer from scratch.
  • Reduced signal noise by 90% and improved response time by 20%.
  • Used electronic circuit design skills and tools including KiCad and MATLAB.
  

• Won StartUp Lab 2024 with the Threpsy team, competing among 74 participants.
• Received the Hattrick Award in DD2380 Artificial Intelligence at KTH.
• Achieved grade A on all three major AI assignments: adversarial search, Hidden Markov Models, and reinforcement learning.
• Ranked in the top 14% of 319 students in the KTH Artificial Intelligence course.

• Italian: Native
• English: Fluent, C1 level
• German: B1 level

• Played soccer for 11 years with Virtus Trento.
• Enjoy gym and fitness activities.
• Actively follow AI/ML workshops and cloud computing seminars to stay updated on industry trends.