Kinga Gémes is a Data Scientist based in Budapest with a decade of experience at the intersection of NLP, AI and software engineering. She has transitioned from hands-on roles in test automation and semantic parsing to research-oriented positions, including a multi-year project assistantship at TU Wien and a current Data Scientist role at Intuitech. Her background combines a PhD-track in Computer Science and practical engineering experience building NLP systems, automation pipelines and semantic parsers for industry clients. Kinga’s profile reflects both academic rigor and production-readiness, enabling her to move models from research prototypes to deployable solutions. Colleagues describe her as curious and methodical, often exploring automation opportunities that reduce repetitive work while improving model reliability.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Budapest University of Technology and Economics
XAI based human-in-the-loop framework for automatic rule-learning.
Contributions:1 PR, 28 pushes in 1 year 2 months
pytorchrule-learningxairuledeep-learning
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