Thanks to my PhD in Artificial Intelligence, I am interested in all aspects of: Knowledge Representation and Reasoning (KRR), Statistical Relational Learning (SRL), Natural Language Processing (NLP), Graph Theory (GT). My main area of expertise includes: Production Rule System (PRS) - Drools , Logic Programming (LP) - Prolog , Answer Set Programming (ASP) - Gringo / Clasp , Probabilistic Reasoning - LPAD / ProbLog / Markov Logic Networks , Knowledge Revision -- abductive, inductive and deductive reasoning . I have work experience in: Natural Language Processing (NLP) NLP libraries ( Stanford CoreNLP / ClearNLP /*Apache OpenNLP and personal tools ), Topic Extraction and Clustering , Named Entity Recognition , Entity Linking ; Machine Learning (ML) Unsupervised and Supervised Algorithms , ML Libraries (Apache Math/ML/Weka and personal tools ), mainly used in NLP and Computer Vision (CV); Closed World Assumption (CWA) Graph databases (Neo4j), NoSQL databases (MongoDB and other JPA-based repositories), SQL databases (MySQL, SQLLite, JDBC); Open World Assumption (OWA) RDF, OWL, etc. ontologies, semantic tools like Protégé/Pellet/Jena, realtime Expert Systems (ES) / Decision Support Systems (DSS) device for remote physiotherapy rehabilitation using CV, recommendation system in eTourism, I am proficient in many Java/JavaEE technologies and frameworks (Spring, Thymeleaf, Bootstrap) and I am also competent in other languages (C/C++, HTML/JavaScript, Python).
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