Summary
Kenan Ekici is a data scientist and MLOps engineer based in Heusden, Belgium, with nine years of professional experience and a strong applied-computing education from KU Leuven and PXL. He consults on bio data science and MLOps at Common Sense AI while holding data science roles at Janssen and Algorhythm, blending research-grade modeling with production deployment. His background includes hands-on TTS research for humanoid robots and full‑stack development, giving him a rare mix of signal-processing intuition and pragmatic engineering. Comfortable moving models from prototype to enterprise pipelines, he has practical experience building and maintaining ML systems across pharma and industrial contexts. Colleagues would describe him as someone who bridges academic methods and operational reliability, often surfacing subtle data-quality or deployment issues others miss.
9 years of coding experience
2 years of employment as a software developer
Master's degree Toegepaste Informatica, Master's degree Toegepaste Informatica at KU Leuven
High School Diploma Industriële Computer Technieken, High School Diploma Industriële Computer Technieken at Don Bosco Helchteren
Bachelor's degree Toegepaste Informatica, Bachelor's degree Toegepaste Informatica at Hogeschool PXL
Dutch, Turkish, English, French