Summary
Pedro Gouveia is a software engineer with nine years of hands-on experience who blends frontend expertise with data science and research-driven machine learning. Currently at AKUR8 in Paris, he brings a background of rebuilding user-facing applications, implementing CI pipelines, and developing graph- and text-based ML classifiers during roles at KU Leuven, Circular Flanders and prior industry internships. As a PhD student working on explainable machine learning with applications in education and healthcare, he pairs production-focused engineering with rigorous research into model interpretability. He began coding at 15 and continues to explore new languages and personal projects, reflecting a lifelong curiosity that informs both hobbyist and professional work. Notably, he has moved between academic research and industry product teams, giving him a rare perspective on translating explainability research into deployable systems.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at KU Leuven
Bachelor's degree, Computer Science and Engineering, 18/20, Bachelor's degree, Computer Science and Engineering, 18/20 at Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa - FCT NOVA