Scientific Researcher & Full-Stack Developer
Design and develop a decision-support system for industrial maintenance management as part of a research and technological innovation project, using process mining and machine learning to detect temporal drifts in manufacturing processes. Built front-end in React, back-end in Kotlin and API services in Python. Scholarship program renewed for 2026/27.