Maurizio Mercurio

Maurizio Mercurio has over 10 years of experience in engineering and product development. From 2011 to 2012, they worked as an Engineering Assistant Intern at Marcels Maschinen AG and then as a Research and Development Intern at The Industrial Technology Reliability Company. From 2013 to 2017, they were a Product Development Engineer and Product Engineer at TE Connectivity. During this time, they gained experience in 3D modeling, geometric dimension and tolerancing, design reviews, finite element analysis, tolerance analysis, prototyping, additive manufacturing, manufacturing processes, supplier relationships, offshore manufacturing, design failure mode and effect analysis, design verification plan and report, tooling approval/capability studies, first article inspection reports and approvals, safety agency approvals, connector design, design for manufacturability, design thinking, LTE antenna integration, electric vehicle chargers, terminals and splices. In 2017, they were a Resident Motorsport Engineer, Formula E at Andretti Autosport/TE Connectivity, providing general engineering and track side support for Andretti Autosport's Formula E Team throughout Season 4. From 2018 to 2022, they worked as a Staff Field Applications Engineer, EV Powertrain & Charging and then as a Senior Mechanical Design Engineer, Power Distribution System at Lightship.

Maurizio Mercurio's education history includes a Bachelor of Science (B.S.) in Mechanical Engineering from Lehigh University from 2009 to 2013. Maurizio also attended the Worcester Polytechnic Institute's Frontiers Program in 2008. Prior to that, they attended Colegio Internacional de Carabobo from 1995 to 2009, where they completed their high school education. Maurizio is currently enrolled in MIT xPRO, where they are pursuing a Certificate in Architecture and Systems Engineering. Maurizio has also obtained five additional certifications from MIT xPRO, including Architecture and Systems Engineering: Models and Methods to Manage Complex Systems, Quantitative Methods in Systems Engineering, Model-Based Systems Engineering: Documentation and Analysis, Models in Engineering, and Architecture of Complex Systems.