Area of interest:

• Natural Language Processing
• Databases and Information systems
• Machine learning

Previous Experience:

VP of Engineering and Co-Founder at Ambiverse

At Ambiverse we extract entities from unstructured text, enabling a more precise transformation of texts into actionable, measurable, and easily accessible knowledge. Entities are identified by types such as person, location, organization, or product, and linked to the Wikipedia-derived YAGO knowledge graph. You can query the knowledge graph to obtain further information about these entities, such as Wikipedia links, textual descriptions, images, and lists of relevant categories.