Technology leader and researcher based in Maribor, Slovenia. Director of Digital and Sustainable Excellence at Borzen, Microsoft Certified Trainer for AI and Azure, and a PhD candidate in computer science (deep learning) at the University of Maribor.

Background

Over the past decade my work has moved between three vantage points: building software, leading technology organizations, and research. I spent a decade as Head of Research and Development at Semantika, working on applied machine learning, data, and software engineering. I then led application development and the IT department at Banka Intesa Sanpaolo, with responsibility for architecture, delivery, security, and the bank’s digital operations. Since late 2025 I have been Advisor to the CEO and Director of Digital and Sustainable Excellence at Borzen, Slovenia’s electricity-market operator.

Running alongside that is a research practice. I am completing a PhD in deep learning at the University of Maribor and have published peer-reviewed work in machine learning, bioinformatics, and digital health — including methods for learning from small, high-dimensional datasets, the quality of digital-health software, and transformer-based models for human-value detection. Selected publications and the Tabnetics toolkit are listed on the research page; the full record sits under my ORCID profile.

I speak regularly at Slovenian technology conferences and in the media on artificial intelligence, large language models, cybersecurity, and software engineering, and I teach AI and Azure as a Microsoft Certified Trainer.

Professional Orientation

Building resilient, compliant digital operating models in regulated sectors
Translating AI and software engineering into practical business capability
Integrating cybersecurity, risk management, and process quality

Certifications

Microsoft Certified Trainer
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Developer Associate
NVIDIA DLI: Transformer-Based NLP Applications
NVIDIA DLI: Applications of AI for Anomaly Detection

Languages

  • Slovenian (native)
  • English (full professional)
  • German (limited working)

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