Summary
Elona Shatri is a Machine Learning Ops Enablement Specialist with a PhD in Artificial Intelligence from Queen Mary University of London and a decade of experience bridging research, teaching, and applied ML. Her doctoral work advanced optical music recognition using deep learning in collaboration with industry (Steinberg), turning complex music notation into searchable, analyzable digital assets. She has led interdisciplinary initiatives on AI ethics and society, founded QMUL’s AI, Ethics and Society Group, and contributed to national and UNESCO-aligned AI policy research. At BT Group she focuses on operationalising ML workflows, drawing on a background that spans research fellowships, postgraduate teaching, and hands-on systems internships. Known for blending rigorous research with practical deployment and a passion for creative AI, she uniquely combines expertise in computer vision, music tech, and responsible AI.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree Electrical Engineering - Telecommunications, Bachelor's degree Electrical Engineering - Telecommunications at University of Prishtina
Exchange Semester Bachelor's degree Artificial Intelligence, Exchange Semester Bachelor's degree Artificial Intelligence at Państwowa Akademia Nauk Stosowanych w Nysie
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Queen Mary University of London
Master's degree Information Systems and Application, Master's degree Information Systems and Application at National Tsing Hua University
Chinese, English, Albanian, Spanish