Davide Boschetto
About Davide Boschetto
Davide Boschetto is a Senior Machine Learning Engineer at Scandit, where he has worked remotely since 2022. He has a strong background in bioengineering and computer science, with experience in deep learning, computer vision, and natural language processing across various companies.
Work at Scandit
Davide Boschetto has been employed at Scandit as a Senior ML Engineer since 2022. He works remotely and is involved in various machine learning projects. Notably, he coordinated the development of Scene Parsing in ShelfView, contributing to the company's innovative solutions in the field of computer vision and machine learning.
Previous Employment Experience
Before joining Scandit, Davide Boschetto worked at Microtec Innovating Wood as a Deep Learning Specialist from 2017 to 2022. His role included extensive use of Keras and TensorFlow for AI problem-solving. He also held positions at Previnet S.p.A. as a Data Scientist and NLP Specialist, and at Hawk-Eye Innovations Ltd as a Computer Vision Software Engineer, where he focused on developing advanced technological solutions.
Education and Expertise
Davide Boschetto holds a Master's degree in Bioengineering and Biomedical Engineering from Università degli Studi di Padova, completed between 2009 and 2012. He furthered his education with a PhD in Image Analysis from IMT School for Advanced Studies Lucca, achieved from 2013 to 2016. His academic background is complemented by completion of advanced courses in deep learning and reinforcement learning from UCL and DeepMind.
Technical Skills and Projects
Throughout his career, Davide Boschetto has developed various technical skills in machine learning and computer vision. He implemented new models for a healthcare-focused mobile app and developed a Computer Aided Decision Support System for confocal endomicroscopy examinations during his PhD studies. He also engaged in real-time log analysis for monitoring attacks and intrusions in a past role.
Professional Development and Community Engagement
Davide Boschetto is an active participant in fast.ai forums and has completed all three iterations of the fast.ai course. He also completed the CS231N course from Stanford in 2017, which focuses on convolutional neural networks for visual recognition. His commitment to continuous learning reflects his dedication to advancing his expertise in machine learning and artificial intelligence.