Márton Miháltz

Márton Miháltz is a renowned research scientist and software engineer with a strong academic background and extensive expertise in machine learning, natural language processing, and data science.

His specialties lie in natural language processing (computational linguistics), focusing on areas such as information extraction (relation extraction), coreference resolution, sentiment analysis, and opinion mining.

With a wealth of experience in designing, managing, and implementing NLP projects and solutions, Márton excels in big data-scale processing and machine learning, utilizing tools like AWS and Apache Spark.

His proficiency extends to record linking (entity resolution) and knowledge graphs, showcasing his comprehensive skills and knowledge in the field.

Márton Miháltz pursued his education diligently, earning a PhD in Natural Language Engineering from Péter Pázmány Catholic University, an M.A. in General Linguistics from Szegedi Tudományegyetem, a B.Sc. in Computer Science from Eötvös Loránd University, and also studied American Studies at Szegedi Tudományegyetem.

Throughout his career, Márton held significant positions at prestigious organizations, including Senior Research Scientist at Meltwater and Research Scientist at Meltwater. Previously, he was a research fellow at both the Natural Language Processing Group, MTA-PPKE, and the Research Institute for Linguistics, Hungarian Academy of Sciences.

He also showcased his expertise as a Developer and researcher in natural language processing at GeoX and in4 Kft., as well as a Research assistant at Péter Pázmány Catholic University, Faculty of Information Technology, and an NLP engineer and researcher at MorphoLogic.