Summary
Kerem Eryılmaz is a research engineer and data scientist with 14 years of experience bridging academic AI research and industrial machine-learning practice, currently working at Flanders Make in Leuven while completing a PhD at Vrije Universiteit Brussel. He specializes in time-series modeling and diagnostics for machine monitoring using both classical methods and deep learning, often applied to vibration data, and has hands-on cloud experience particularly with Azure. Academically he blends computational linguistics, evolutionary linguistics and cognitive science—focusing his doctoral work on extracting combinatorial structure from continuous signals with HMM and HSMM variants, including applications to speech and bird calls. Kerem’s background in building corpora and corpus management systems, plus early work on Turkish NLP tasks, gives him an uncommon mix of practical engineering and theoretical modeling. He is a Python- and Linux-centric developer who enjoys turning cognitive-science questions into reproducible ML pipelines and prototypes, including occasional dialog-system proofs of concept.
14 years of coding experience
4 years of employment as a software developer
BSc, Computer Engineering, BSc, Computer Engineering at Bilkent University
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Vrije Universiteit Brussel
MSc, Cognitive Science, MSc, Cognitive Science at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish, French, Dutch