Marko M. Dabović
Software Engineer • MSc in Information Technology • PhD Candidate
I am a software engineer and researcher working across artificial intelligence, data science, cybersecurity, and distributed systems, with a particular passion for artificial neural networks and complex systems analysis, and I provide consulting for teams designing, stabilizing, and evolving complex technical systems.
Work spans artificial intelligence, data science, computer vision, and cybersecurity, combining academic research with more than a decade of engineering experience in large-scale production systems.
Background includes research environments, startups, and industry platforms, with work on AI-driven systems, large data pipelines, and security platforms operating at scale. Experience covers
cloud-native,
data-driven,
microservice-oriented, and
event-driven architectures,
with a strong focus on designing and operating distributed systems in production environments.
Current activities focus on helping teams design, understand, and evolve complex technical systems. This often includes full engineering ownership during critical phases such as
platform transitions,
startup acquisitions, and
system handovers.
Typical work in these situations involves deep system analysis, stabilization of production platforms, documentation and knowledge transfer, technical debt remediation, and integration into scalable cloud-native architectures.
Extensive work includes data- and event-driven systems, observability and telemetry for distributed platforms, and large-scale security infrastructures. In cybersecurity, this includes WAF and full-scope EASM platforms, covering
asset discovery,
ethical-hacking-driven validation,
vulnerability scanning,
post-scan analytics, and
continuous platform improvement through applied machine learning.
Research & Labs
Alongside engineering and research activities, the marcoderspace platform serves as an experimental education and research hub dedicated to exploring how modern technical systems actually work in practice.
The platform focuses on areas closely related to ongoing professional work, including:
cybersecurity and vulnerability discovery
artificial intelligence and machine learning systems
distributed and event-driven architectures
large-scale data and security platforms
Through marcoderspace, interactive labs, engineering experiments, and technical explorations are developed to examine complex systems while making the underlying ideas easier to understand.
Rather than traditional tutorials, the goal is to combine practical experimentation with clear explanations of how real-world systems are built and operated. The platform is intended as a space for learning, exploration, and hands-on experimentation with technologies that often appear opaque or difficult to approach.
My work combines industry engineering experience and academic research.
Below you can explore my industry experience in building and operating complex technical systems and cybersecurity platforms, as well as my academic and research work in artificial intelligence and medical imaging.
Advanced Deep Learning Methods for Brain Tumor Segmentation
