Gergely Nagy
Tokyo
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Machine learning application for classifying and/or filtering phishing URLs
Public facing web-application and backend service for the Japanese airline subsidiary written in Ruby on Rails and relying on the Spree framework
Public website of the Swiss banking giant. Front-end and back-end are both written in Adobe CQ5 and Java