Gábor's been working on natural language technologies since 2008, when as a linguistics major he learned to code from HP and Dániel at MOKK. After nearly a year of working on the sequential tagger HunTag, he joined András's group at SZTAKI, where he spent 4 years working on various NLP projects, including a hybrid NP-chunker, a tool for entity linking, a learner of weighted grammars, and a system for natural language understanding based on the 4lang theory of semantics. After spending 15 months at Cliqz, Gábor continued work on the 4lang library, the main topic of his dissertation, as a junior researcher at the Research Institute for Linguistics of the Hungarian Academy of Sciences. After finishing his dissertation in 2016, Gábor joined the staff at BME AUT, where he now works on taking graph-based models of semantics to the next level.