FAIRTIQ
Richard Nagyfi is a seasoned professional in machine learning and data science, currently serving as a Senior Machine Learning Researcher at FAIRTIQ since October 2023. Previously, Richard held the position of Senior Data Scientist at Cambridge Mobile Telematics from 2021 to 2023 and contributed as an Academic Researcher and Software Developer at Eötvös Loránd University from 2009 to 2023. Additional experience includes roles as a Machine Learning Researcher at Cursor Insight (2019-2020) and as a Research and Development Engineer at KIBU (2015-2018). Richard also engaged in academic research and software development at the Budapest University of Technology and Economics from 2008 to 2012. Richard holds degrees from Eötvös Loránd University and Budapest University of Technology and Economics.
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FAIRTIQ
FAIRTIQ is an innovative mobile ticketing system that makes travelling on public transport easier than ever before. The app allows users to easily check-in and check-out rather than buying a ticket from the driver, at a TVM or a booking office, with all the hassle that that involves. At the end of their journey, users are charged the lowest possible price for the actual journey undertaken - whether it is single or multi-leg, or involving more than one operator. Because of low upfront costs, and high customer satisfaction, FAIRTIQ's app offers the perfect solution for all transport companies regardless of size or type. The app uses artificial intelligence based bespoke algorithms drawing on many years of experience in public transport and ticketing to build a highly accurate picture of a user’s journey, making the app very accurate and reliable. Available on Apple iOS and all Android versions, FAIRTIQ’s app can be brought into operation quickly and with minimal disruption, as no on-vehicle or on-station equipment is required.