Work Experience

Professional Experience - Deep-learning & Healthcare Research

My career bridges the gap between low-level medical sensor signal analysis and high-level artificial intelligence. For over a decade, I have specialized in capturing, processing, and modeling human physiological data. Today, my core focus is engineering end-to-end Machine Learning and Deep Learning pipelines to classify human lifestyle states using time-series signals from medical sensors and rich user metadata.

Head of Research and Innovation | Deep-learning & e-Health

Kana • Leeuwarden, Netherlands • (10/2019 – Present)

Leading the AI architecture and physiological data strategy for e-Health mobile applications focused on stress treatment and emotion regulation.

  • Deep Learning & Time-Series: Researching and developing deep learning architectures to classify user stress and relaxation states utilizing high-frequency medical sensors (ECG) and complex time-series data.
  • MLOps & System Architecture: Architected and deployed a scalable, real-time model inference pipeline to seamlessly integrate AI into mobile environments.
  • Data Science & Metadata: Conducted advanced data analysis on temporal physiological signals alongside user metadata to predict task performance and mental mindset variations.

Tech Stack & Focus: Deep Learning, Time-Series Analysis, MLOps, End-to-End ML Pipelines, Affective AI.

Postdoctoral Researcher | Computational Social Science

Graz University of Technology (TU Graz), ISDS • Graz, Austria • (02/2022 – 04/2025)

  • Computational Modeling: Researching and modeling complex social systems and human behavior using large-scale user metadata and computational methods.
  • Lecturing: Teaching advanced courses in Computational Modelling of Social Systems, Agent Based Modeling of Social Systems and Micro-Degree in AI and Society

Visiting Researcher | VR & Biofeedback

University Medical Center Groningen (UMCG) • Groningen, Netherlands • (02/2020 – 02/2021)

  • Researched biofeedback applications in Virtual Reality, mapping real-time physiological sensor data to immersive environments for the treatment of psychiatric disorders.

Medical Device Engineering & Signal Processing

R&D Software Designer | Medical Imaging Systems

Philips Healthcare • Best, Netherlands • (10/2016 – 11/2018)

Developed mission-critical X-ray systems for cardiovascular medical diagnosis and intervention.

  • System Architecture: Designed and integrated low-level software units combining high-speed mechanical motion with strict safety protocols for patients and operators.
  • Quality & Compliance: Executed rigorous Agile Scrum and Lean Software development under the ISO 13485 standard for Class III Medical Devices (IEC 60601)—foundational experience for deploying safe, compliant medical AI models.

Tech Stack: C++, Qt5, CMake, Google Test, Agile/Scrum.

Researcher & Developer | High-Frequency Physiology Sensors

The School of Medicine • Split, Croatia • (01/2015 – 09/2016)

  • Signal Processing & Classical ML: Developed advanced artifact removal algorithms for cochlear implants operating on high-frequency EEG signals (>20 kHz) using Independent Component Analysis (ICA).
  • Sensor Integration: Built neuro-electronic software interfaces for the fundamental investigation of human hearing neurobiology.

Tech Stack: MATLAB, Advanced Signal Processing, ICA.

Autonomous Systems & Applied Sensor Research

Robotic System Developer | Human-Robot Interaction

RIKEN Brain Science Institute • Tokyo, Japan • (01/2014 – 05/2014)

  • Engineered robotic systems capable of communicating dynamically with physiological sensors (EEG) and spatial sensors (Microsoft Kinect) for collaborative human-robot interaction.

Tech Stack: C/C++, Python, MATLAB.

Brain-Computer Interface (BCI) Developer

Radboud University • Nijmegen, Netherlands • (04/2013 – 06/2013)

  • Extracted and classified brain states using time-series data from wearable EEG medical sensors. Integrated these pipelines into interactive training tools with highly optimized, short setup times.

Tech Stack: C/C++, C#, MATLAB.

Researcher & Developer | Dynamic Robotic Systems

Blekinge Institute of Technology (BTH) • Karlskrona, Sweden • (06/2012 – 09/2013)

  • Affective Modeling: Processed biometric data inputs (ECG, EEG, GSR) to build affective and cognitive models of human partners, allowing autonomous robotic systems to safely and empathetically adapt in real-time.

Tech Stack: C/C++, C#, Java, MATLAB.

Researcher & Developer | Serious Game Technologies

Blekinge Institute of Technology (BTH) • Karlskrona, Sweden • (03/2010 – 09/2012)

  • Data Collection Frameworks: Architected experimental frameworks to capture, synchronize, and analyze medical sensor data (ECG, EEG, GSR) alongside user interaction data to improve financial decision-making behaviors.

Tech Stack: C/C++, Unity 3D, C#, Java, MATLAB.

Early Engineering Roles

  • Systems Architect & Developer: FESB (Lama d.o.o.), Split, Croatia (03/2009 – 01/2010) — Developed image processing and analysis pipelines (using Gauss MM and OpenCV) for intelligent fire surveillance systems.
  • C# & SQL Developer: Ghent University, Belgium (08/2008 – 09/2008) — Developed simulation software for refrigerant flow dynamics.
  • Algorithm Developer: University of Michigan, USA (01/2008 – 05/2008) — Programmed design optimization algorithms and data visualization frameworks for automotive engineering.

Academic & Lecturing Experience

With a strong commitment to knowledge transfer, I have designed and delivered university-level courses focusing on computational systems, research methodologies, and programming.

University of Graz (Austria)

  • Micro-Degree in AI and Society (2026)

Graz University of Technology (Austria)

  • Computational Modelling of Social Systems (2022/23)
  • Foundations of Computational Social Systems (2022/23)

Blekinge Institute of Technology (Sweden)

  • Course Responsible: Research Methodology, Data Visualization, Bachelor/Master Thesis Supervision (2018/19)
  • Lecturer: Advanced 3D Programming, Game & Interaction Design (2010–2014)
  • Pedagogy Certification: 15 ECTS (Pedagogy 1, University Teaching 101)

Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (Croatia)

  • Introduction to Programming, Programming for Web (2008/09)

Guest Lecturer

  • Instructional Design of Serious Games for Healthcare, Singapore University of Technology and Design (2020)