Leonardo Colussi
Ivn Engineering Intern @Bosch
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WORK HISTORY
Ivn Engineering Intern @Bosch
Involved in the development and optimization of next-generation in-vehicle network architectures. The work focuses on exploring optimization methods, data-driven analysis, and simulation-based validation to enhance efficiency and reliability in automotive communication systems.
EDUCATION
Universidade Federal de Santa Catarina
Bacharelado
ABOUT LEONARDO COLUSSI
Innovative R&D Specialist with over 4 years of experience in engineering, machine learning, and data analysis. Proven expertise in developing and deploying advanced ML models and data-driven solutions, leading projects with stakeholders, and executing complex technical initiatives. Skilled in sensor fusion, time series for predictive maintenance, and computer vision. Some examples of projects: • Implemented sensor fusion techniques with Kalman Filter and NMNI to integrate data from multiple sensors, improving measurement accuracy, system robustness, and decision-making capabilities. • Developed an ML project using an LSTM model for WEG, forecasting wind turbine failures and significantly reducing unexpected downtimes through improved predictive maintenance. • Created an ML model using YOLO for CERTI to detect laptop defects (e.g, stains, dents) in partnership with a leading global manufacturer, enhancing quality control processes. • Collaborated on a computer vision project to detect and track objects in aerial sea images, including wrecks, vessels, and individuals, in partnership with the CERTI Foundation and other stakeholders, enhancing maritime safety and surveillance. I enjoy connecting with professionals and exploring new opportunities. Feel free to reach out at l••••••••@gmail.com.
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