Summary
Diogo Gomes is a Thermal Engineer with nine years of technical experience and a Master’s in Engineering Physics from the University of Aveiro, where he developed a graphene-based electronic tongue combining custom electronics, data acquisition and machine learning to classify cork lixiviates. He moved from academic research—designing GFET measurement hardware and MATLAB control software—to industry, applying applied-physics insights to real-world thermal system integration at Aspöck Portugal. Comfortable with hardware-level instrumentation, Python and signal processing, he has also used ML pragmatically to speed capacitor impedance predictions during an internship at KEMET. Diogo’s profile reflects a rare blend of hands-on sensor electronics, experimental automation and data-driven modeling that helps bridge lab prototypes and production engineering.
9 years of coding experience
Master's degree, Engineering Physics, 16, Master's degree, Engineering Physics, 16 at Universidade de Aveiro