Summary
Luis Silvestrin is a data scientist and recent PhD researcher in AI and Machine Learning at Vrije Universiteit Amsterdam with 11 years of industry and research experience. He combines deep theoretical knowledge—evidenced by four publications in top AI venues—with hands-on engineering skills in Python, PyTorch, TensorFlow and Linux to turn sensor-rich industrial data into actionable models. At VU Amsterdam he transformed two years of readings from over 1,000 sensors into insights and built production-grade deep learning models to predict steel production overheating. His background spans mobile app development, graph visualization at SAP, and a high-impact MR spectroscopy project that improved accuracy threefold, showing an uncommon mix of applied research and product-focused delivery. Now based in Amsterdam and currently working at Tricon Energy, he is seeking private-sector roles where he can rapidly prototype and deploy ML solutions that bridge research and operations.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam)
Master's degree, Data Science, Master's degree, Data Science at National School of Computer Science and Applied Mathematics of Grenoble
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Federal University of Rio Grande do Sul