Available for collaboration

Dr Ognjen
Vučurević

Where Medicine Meets Machine Intelligence

Diagnostic Radiology AI Engineering Systems Architecture IT Infrastructure
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About

Bridging clinical insight
with intelligent systems

A physician by training and an engineer by conviction. Dr Ognjen Vučurević operates at the rare intersection where clinical radiology meets AI systems design — translating diagnostic expertise into autonomous, production-grade technology.

With a Doctor of Medicine from the University of Belgrade and a Bachelor's in IT from Metropolitan University, he brings dual-domain fluency to every project: deep understanding of medical imaging workflows combined with hands-on infrastructure engineering.

Currently serving as Domain Expert at Informatika a.d., Serbia's oldest and one of the most established ICT system integrators (est. 1976), he architects solutions across enterprise infrastructure, process automation, and AI-augmented diagnostics.

30+
Repositories
MD
+ IT Degree
2
Domains
Experience

Career trajectory

Current
Domain Expert
Informatika a.d. — Belgrade
Enterprise ICT solutions, system integration, AI strategy. Serbia's leading system integrator since 1976, partnered with Dell, Microsoft, Cisco, VMware, Siemens.
Previous
Project Manager
Obrazovno Istraživački Centar
Managed educational technology projects bridging research and implementation.
Previous
Tech & Communications
Tech Talk Hub · Prospect Development · MIRUS BGD PR
Technology communications, business development, and PR strategy across the Belgrade tech ecosystem.
Ongoing
AI Systems Architect
Independent — SLAVKO / Metatron Platform
Designing sovereign AI orchestration systems. WSL2 + RTX 3090 infrastructure. Fractal architecture, holonic design, autonomous agents.
Expertise

Domains of mastery

🔬

Diagnostic Radiology

Clinical imaging, DICOM workflows, MRI/CT/US protocols. AI-readable diagnostic pipelines.

DICOMMRICTUltrasoundPACS
🧠

AI & Machine Learning

LLM orchestration, agent architectures, RAG systems, computer vision for medical imaging.

LLMRAGAgentsPyTorchClaude
⚙️

Systems & Infrastructure

Linux, WSL2, GPU computing, VPS orchestration, Docker, CI/CD pipelines.

LinuxDockerNVIDIAVPSBash
🏗️

Enterprise ICT

System integration, IT project delivery. Dell, Microsoft, Cisco, Siemens stacks.

DellMicrosoftCiscoVMware
🌐

Full-Stack Development

Web apps, APIs, automation, Telegram bots. Python, JavaScript, HTML5.

PythonJSHTML5APIsTelegram
📐

Architecture & Design

Holonic systems, fractal architecture, self-exemplifying artifacts. Metatron Doctrine.

HolonicFractalGSDSA/MA
Open Source

Selected projects

🧠AI Platform

metatron-sovereign

Sovereign AI orchestration — autonomous agent management and holonic design patterns.

🤖Python

slavko-core

SLAVKO AI engine. Session-agnostic, model-agnostic with memory persistence.

📊Dashboard

dash-metatronhub

Centralized monitoring dashboard for the AI agent ecosystem.

🧬Research

gentree

AI-powered genealogy research with document analysis.

🏥MedTech

zdravko

Medical AI — differential diagnosis and clinical decision support.

☀️Full Stack

solar-genesis

Solar energy monitoring, analytics, and optimization platform.

🏢Enterprise

informaticar

Enterprise IT tooling and process automation.

🛡️Security

nanoguard

Lightweight security monitoring for edge infrastructure.

github.com/droggy992 →

Education

Academic foundation

⚕️

Doctor of Medicine (MD)

University of Belgrade — Faculty of Medicine
Comprehensive medical training with specialization path in diagnostic radiology.
💻

Bachelor's — Information Technology

Univerzitet Metropolitan — Faculty of IT
Software engineering, information systems, modern IT infrastructure.
Philosophy

Operating principles

If you're defining how something should look, work, or feel — make the definition itself look, work, and feel that way. The medium is the proof.
— Metatron Doctrine v1.0
GSD
Get Shit Done
SA/MA
Session Agnostic
RRLM
Recursive Refine
Connect

Let's build something

Belgrade-based, Boka Kotorska-rooted. Open to collaborations at the intersection of medicine, AI, and enterprise technology.

LinkedIn GitHub Email