Summary
Rafael Drumond is a data scientist and PhD candidate in Machine Learning at Universität Hildesheim with 11 years of experience applying meta-learning and deep learning to real-world problems in industry and research. He has driven published work on few-shot learning, time-series forecasting, and robust model initialization across modalities, collaborating on funded projects that bridge manufacturing use-cases and academic advances. Previously a senior ML scientist and long-time research assistant in Brazil, he combines hands-on engineering with teaching and student supervision, having authored papers in PAKDD, ECML, and ICDM. Based in Hildesheim and currently at NORD/LB, he brings a rare blend of expertise in serious games/entertainment tech, speaker recognition, and transfer/meta-learning for scarce-data settings. An often-overlooked strength is his experience translating heterogeneous sensor and motion-capture signals into practical forecasting models for industry partners.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Graphics, Master of Science - MS, Computer Graphics at Universidade Federal Fluminense
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Universität Hildesheim
University of Illinois Urbana-Champaign
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal do Maranhão
Portuguese, English, German, Spanish, Italian