Summary
Alessio Marchetti is a Principal Solution Consultant with over two decades of hands-on experience in C++, XML, DBMS and service-oriented architectures, currently helping manufacturers bridge the physical and digital through PTC’s IoT, AR and PLM solutions. He has a rare blend of deep engineering roots—starting as a C++ developer and trainer—and presales/solution consulting expertise, having supported customers across Europe in technical sales, implementation and training. Alessio regularly speaks and delivers workshops on topics like multithreading, databases and metadata, and pairs that practical teaching background with formal studies in AI, statistics and metadata organization. Known for turning complex information architectures into usable systems, he combines product-focused consulting with a mentor’s mindset and a strong record in applied tooling and standards.
7 years of coding experience
9 years of employment as a software developer
Metadata: Organizing and Discovering Information, Computer and Information Sciences, Statement of Accomplishment, Metadata: Organizing and Discovering Information, Computer and Information Sciences, Statement of Accomplishment at Coursera
Intro to Statistics: Making decisions based on data, Highest Distinction, Intro to Statistics: Making decisions based on data, Highest Distinction at Udacity
Master's Degree in Information Science and Computer Science, Information Science and Computer Science, Relational Databases, Artificial Intelligence, Master's Degree in Information Science and Computer Science, Information Science and Computer Science, Relational Databases, Artificial Intelligence at Università degli Studi di Genova
Negotiation, Effective Communication, Project Management, Problem Solving, Negotiation, Effective Communication, Project Management, Problem Solving at Fondazione ISTUD
Introduction to Artificial Intelligence, Artificial Intelligence, 96.9% (top 25% of the 20,000 who completed the class), Introduction to Artificial Intelligence, Artificial Intelligence, 96.9% (top 25% of the 20,000 who completed the class) at ai-class (in partnership with Stanford Engineering)