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Ph.D. in Engineering Science: Computer Science

KU Leuven

Artificial Intelligence

• Advisors: Prof. Luc De Raedt and Prof. Giuseppe Marra
• Main research focus: Neurosymbolic AI, with an emphasis on Graph Neural Networks (GNNs)
• Research group: Declarative Languages and Artificial Intelligence (DTAI)

M.Sc. in Information and Communication Technologies

Jožef Stefan International Postgraduate School

Artificial Intelligence

• Advisor: Prof. Marko Bohanec
• Main research focus: Decision Support Systems, with an emphasis on DEX methodology and its applications
• Research group: Department of Knowledge Technologies

B.Sc. in Computer Science

University of Prizren

Software Engineering

• Advisor: Prof. Artan Dërmaku
• Main research focus: Software Engineering, with an emphasis on design patterns and software architecture

AI Engineer

Predikt.ai

Main focus: AI methodologies for procurement intelligence and decision support

• Develop AI methodologies that support procurement analytics and decision-making
• Apply advanced machine learning techniques to supplier intelligence, market analysis, and purchasing optimization
• Translate academic research in machine learning and AI into scalable industry applications

AI Researcher

KU Leuven - Declarative Languages and Artificial Intelligence (DTAI)

Main research focus: Neurosymbolic AI, with an emphasis on Graph Neural Networks (GNNs)

• Member of SYNTH ERC Advanced Grant project and iBOF project
• Developed novel GNN architectures
• Designed and developed VisualSYNTH, a spreadsheet-native AI assistant that automates data science workflows; built with React, Flask, and GraphQL.
• Contributed to the design of SYNTHLog, a domain-specific language for data-driven modeling and automation

AI Engineer

Jožef Stefan International Postgraduate School

• Developed DEX-based decision support models for monitoring and developing competencies
• Designed and developed web-based application for competency modeling and job role evaluation

AI Engineer

Jožef Stefan International Postgraduate School

• Developed DEX-based decision support models for training recommendation
• Designed and developed web-based application to evaluate employees and suggest trainings using decision-making methods

AI Researcher

Department of Knowledge Technologies

• Member of the NARSIS project
• Developed Decision Support Tool for Severe Accident Management (Severa)
• Designed and executed system tests, contributed to deliverables and documentation of the project
• Designed and developed DEX2Web, a web-based software implementing the DEX methodology for decision-making

Software Engineer

AIO Technology

• Designed and developed web-based and mobile applications using Java, .NET, and PHP
• Built UI-based web scraping tools using Python and Selenium

Software Engineer

Probit

• Developed, tested, and deployed web and Android applications

Graphic Designer

APrint

• Graphic and layout designer for print media

Runner-Up Award

International Symposium on Intelligent Data Analysis

Awarded for the paper 'Subgraph Mining for Graph Neural Networks'

Best Paper Award

International Conference on Decision Support System Technology

Awarded for the paper 'DEX2Web: A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX'

Ad Futura Scholarship

Public Scholarship, Development, Disability and Maintenance Fund of the Republic of Slovenia

Scholarship for master studies in the field of Information and Communication Technologies