MojAI
AI-Native multi-project development workspace.
Next.js, TypeScript, PostgreSQL, Prisma, REST APIs.
Professional Profile & Resume
Dragan Miljanović
AI-Native Software Engineer
Based in Podgorica, Montenegro · Available for remote international collaboration
I build and ship web, backend, Android and Windows desktop applications using structured AI-native development workflows powered by Codex.
Professional Profile
AI-Native Software Engineer focused on product-oriented software development across web, backend, Android and Windows desktop systems.
I have been actively developing, learning and working with Codex, AI agents and related engineering tools since 2025.
Work covers Python tools and automation, SQL reporting and business intelligence systems, real-time and multi-device workflows, embedded systems research, and practical architecture, implementation, debugging, testing and deployment workflows.
Core Capabilities
- AI-Native Product Development
- Full-Stack Web Applications
- Backend & REST APIs
- Android Applications
- Windows Desktop Applications
- Python Tools & Automation
- SQL Reporting & Business Intelligence
- Real-Time & Multi-Device Systems
- Embedded / ESP32 R&D
- Deployment Preparation
- Debugging and Acceptance Testing
Selected Projects
Band Guide
Multi-device Android live performance and setlist platform.
Android, Java, Firebase, real-time synchronization. Testing: 107 tests, 0 failures/errors/skipped.
LOCIRA
Real-time GPS tracking and taxi dispatch platform.
Kotlin Android, Node.js, REST APIs, maps, sockets.
Pharmacy Assistant
AI-assisted pharmaceutical information platform.
Web, Android, REST API, AI-assisted search. Supports information workflows and does not replace medical or pharmaceutical judgment.
Ultra Fast Search
Local Windows desktop search application.
MSIX packaging and Microsoft Store distribution completed.
Matrice Stage
Offline Android live performance system.
Kotlin, local WebSocket, offline-first architecture.
Education
- Graduate in Management
- Information Technology Engineer
AI-Native Engineering Method
- Analyze
- Architect
- Agent Tasking
- Implement
- Review
- Test
- Debug
- Deploy
- Iterate
Alongside continuous practical training and selected courses, I developed my own agent-based software engineering workflow for planning, architecture, implementation, testing, debugging and delivery.
Codex and AI tools accelerate implementation and investigation, while I retain control over requirements, architecture, validation, security decisions and release readiness.
Professional Context
Experience working with both public-sector and private organizations on practical software, reporting and information-system workflows.
Additional Technical Areas
Python
- music and audio tooling
- backing-track preparation workflows
- vocal-removal related workflows
- automation and data processing
SQL Reporting
- local custom reporting systems
- direct read access to approved SQL databases
- business reports and dashboards
- security-conscious, read-only integration where appropriate
Embedded Systems Research
Exploratory Android-connected ESP32 systems for water/well control and anti-hail protection workflows.
Availability
- Remote employment opportunities
- AI-native engineering roles
- Full-stack and backend roles
- Android application development
- Custom software projects
- Product licensing discussions