About Me
I'm a software engineer and AI/ML researcher building intelligent, privacy-preserving systems. Currently working at Engineering Software Lab Serbia while pursuing my Software Engineering degree at Metropolitan University Belgrade.
Background
My journey in software engineering began with a fascination for how systems work at scale. What started as building traditional full-stack applications has evolved into a deep focus on AI/ML engineering, particularly in creating local, privacy-first intelligent systems.
I'm currently in my third year of Software Engineering at Metropolitan University Belgrade, expected to graduate in 2027. This academic foundation complements my professional experience, allowing me to bridge theoretical concepts with real-world implementations.
Professional Experience
Engineering Software Lab Serbia (2022-Present)
As a Software Engineer, I work across the full stack building enterprise applications with:
- Microservices architecture using Java/Spring Boot
- Event-driven systems with message queues (RabbitMQ, Kafka)
- RESTful API design and implementation
- Frontend development with Angular, React, and Vue
- Database design and optimization (MySQL, MSSQL, Oracle, Redis)
Beyond coding, I contribute to architectural decisions, mentor junior developers, and lead code reviews to maintain high-quality standards across our codebase.
docloop (2021-2022)
My first professional role where I built foundational skills in full-stack development, working with modern JavaScript frameworks and learning the importance of clean, maintainable code.
Skills & Expertise
Primary Skills
- AI/ML Engineering: Local LLMs, NLP, Agentic AI, RAG architectures
- Backend Development: Java/Spring Boot, Node.js, FastAPI
- Frontend Development: Angular, React, Vue, TypeScript
- Distributed Systems: Microservices, event-driven architecture, WebSockets
- Databases: MySQL, MSSQL, Oracle, Redis, ChromaDB (vector database)
Emerging Skills
- Cloud Engineering (AWS certifications planned)
- Cybersecurity Engineering
- MLOps & AI Infrastructure
- Embedded Systems & IoT
Current Focus
I'm transitioning from general full-stack development to specialized AI/ML engineering. My focus is on building local, privacy-preserving AI systems that give users complete control over their data while providing powerful intelligent capabilities.
Currently working on Project Aeon, a modular local AI assistant built with:
- FastAPI backend for flexible, async API design
- ChromaDB for semantic search and RAG implementation
- Vue 3 + TypeScript frontend with Naive UI
- Integration with Fabric AI framework
- Local LLM inference with Ollama/LM Studio
Goals & Philosophy
Short-term Goals
- Master AI/ML engineering fundamentals and advanced techniques
- Ship major side projects (Project Aeon, distributed systems tools)
- Contribute to open-source AI/ML projects
- Complete AWS AI certifications
Long-term Vision
- Lead AI/embedded systems teams
- Build an AI research lab focused on privacy-preserving technologies
- Advance local-first AI architectures
- Mentor the next generation of AI engineers
Core Philosophy
I believe in self-reliant engineering — building systems that work independently, respect user privacy, and don't require constant internet connectivity or external dependencies. This philosophy drives my focus on local-first AI and distributed architectures.
Continuous learning is not optional; it's essential. The field of AI/ML evolves rapidly, and staying current requires dedication to learning, experimentation, and hands-on practice.
Notable Projects
Project Aeon - Local AI Assistant
Privacy-first AI system acting as research, coding, and learning mentor. Fully offline-capable with local LLM inference and vector database for semantic search.
Status: Ongoing development | Tech: FastAPI, ChromaDB, Vue 3, Ollama
Distributed Chat System
Scalable real-time chat exploring distributed systems, WebSockets, load balancing, and horizontal scaling with Go and Redis pub/sub.
Password Manager
Desktop application with industry-standard security practices, secure encryption, and comprehensive test coverage.
Certifications & Education
- Full Stack Development with Angular and Spring Framework (2023)
- Reactive Angular with NgRx (2023)
- Metropolitan University Belgrade - Software Engineering (Expected 2027)
Planned: AWS AI Practitioner and AWS AI Engineer certifications (by 2028)
Beyond Work
- Technical writing and documentation
- Open-source contributions (future goal)
- Game development exploration (tower defense project in planning)
- Building developer tools and productivity systems
Let's Connect
I'm always interested in discussing AI/ML, distributed systems, or collaborating on interesting projects. Feel free to reach out:
- Email: golubovicluka95@gmail.com
- Twitter/X: @LukaGolubov
- LinkedIn: linkedin.com/in/lukagolubovic
- GitHub: github.com/golubovicluka
"Empty coffee cup, code compiles but heart is tired, dreams wait in silence."