Ebube Ogbonda is a data scientist and full-stack developer with nine years' experience building data-driven web applications and predictive models, currently pursuing a PhD in AI, Machine Learning and Advanced Computing at Bangor University. He combines research into AI-enabled legal visualisations with hands-on roles as Senior Data Analyst at Qrapp Technology and Lead Software Developer at Tawa Online, where his work improved customer engagement by 10%. Skilled across JavaScript frameworks (React, Angular, Marionette, Backbone), Node.js, Mapbox, D3.js, MongoDB and CI/CD, he bridges academic rigour and product delivery. A certified software professional and co-author of publications in the Eurographics Digital Library, he also co-founded Qrapp Technology and brings entrepreneurial experience from Mauritius to the UK tech scene. Notably, his background spans both quantum/physics visiting studies and practical AI research for regulatory bodies, reflecting an uncommon blend of interdisciplinary curiosity and applied impact.
9 years of coding experience
1 year of employment as a software developer
Non Degree (Visiting) - within the School of Physics Quantum Computing (AIMLAC), Non Degree (Visiting) - within the School of Physics Quantum Computing (AIMLAC) at Swansea University / Prifysgol Abertawe
Bachelor's degree Information Technology and Business Informative Systems, Bachelor's degree Information Technology and Business Informative Systems at Middlesex University
Doctor of Philosophy - PhD (Artificial Intelligence Machine Learning and Advanced Computing CDT) Computer Science, Doctor of Philosophy - PhD (Artificial Intelligence Machine Learning and Advanced Computing CDT) Computer Science at Bangor University
Diploma of Education Computer Software Engineering, Diploma of Education Computer Software Engineering at NIIT Pune
Non Degree (Visiting) - within the School of Physics Artifical Intelligence Machine Learning and Advanced Computing (AIMLAC), Non Degree (Visiting) - within the School of Physics Artifical Intelligence Machine Learning and Advanced Computing (AIMLAC) at Prifysgol Aberystwyth University
Non Degree (Occasional Studies) which will be based in the Cardiff School of Physics & Astronomy CAH07-01-01 Physics, Non Degree (Occasional Studies) which will be based in the Cardiff School of Physics & Astronomy CAH07-01-01 Physics at Cardiff University / Prifysgol Caerdydd
Non Degree (Visiting) PGR (2PHYS028R) - within the School of Physics Artificial Intelligence Machine Learning and Advanced Computing (AIMLAC), Non Degree (Visiting) PGR (2PHYS028R) - within the School of Physics Artificial Intelligence Machine Learning and Advanced Computing (AIMLAC) at University of Bristol
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