Marko M. Dabović
Founder • Principal Engineer • Strategic & Technical Consultant • PhD Candidate
I am a software engineer, founder, and researcher working across artificial intelligence, cybersecurity, data-intensive systems, and distributed architectures.
I work with teams facing high-complexity technical systems and critical engineering problems, spanning architecture, product development, platform stabilization, cybersecurity, AI, data infrastructure, and large-scale production systems.
Work spans artificial intelligence, data science, computer vision, cybersecurity, and distributed systems, combining academic research with more than a decade of engineering experience across complex production environments.
Background includes research organizations, startups, and large-scale industry platforms, with work spanning AI-driven systems, data-intensive architectures, cybersecurity infrastructure, and distributed production systems.
Engineering experience includes cloud-native, event-driven, and data-intensive architectures, with a strong focus on systems that must operate reliably at scale.
Current work centers on designing, analyzing, stabilizing, and evolving complex technical systems, including periods of deep technical ownership during:
platform transitions
startup acquisitions
system handovers and integrations
These situations have involved deep system analysis, production stabilization, architecture evolution, technical debt remediation, documentation, knowledge transfer, and integration into scalable infrastructure.
Cybersecurity work includes WAF and full-scope External Attack Surface Management platforms, spanning:
asset discovery
ethical-hacking-driven validation
vulnerability discovery and scanning
post-scan analysis
observability and security telemetry
applied machine learning for platform improvement
Products & Ventures
Alongside my engineering and research work, I build products, ventures, and original technical initiatives through marcoderspace™ studio, an independent software studio focused on digital products and complex technical systems.
The studio is a place for turning ideas into working software products and technically ambitious systems, from early product direction and architecture through engineering, infrastructure, release, and continued development.
Current work includes products and initiatives such as scrolloom™ app, HookLearn™ app, and mustknow.it, alongside other software products, experiments, and technical concepts at different stages of development. Some begin as responses to practical problems, while others emerge from research, experimentation, or opportunities created by new technologies.
The work often sits at the intersection of product development and deeper technical exploration, particularly in areas such as:
cybersecurity and vulnerability discovery
artificial intelligence and machine learning systems
distributed and event-driven architectures
large-scale data and security platforms
This creates room not only for building products, but also for engineering experiments, prototypes, technical investigations, and new approaches to complex systems that can eventually develop into standalone products, tools, or ventures.
My background combines more than a decade of industry engineering with academic research in artificial intelligence and medical imaging.
Professional work includes complex production systems, distributed architectures, cybersecurity platforms, data-intensive systems, and technical transitions, while academic research focuses on deep learning, computer vision, and medical imaging.
Advanced Deep Learning Methods for Brain Tumor Segmentation
