Engineering systems with an AI/ML research trajectory
I'm Luka, a software engineer based in Belgrade. I build production software with React, Angular, and Spring Boot, and I study machine learning with increasing depth in statistics and mathematics. I am currently at Engineering Software Lab and completing my degree at Metropolitan University (graduating in 2027), with a long-term goal of contributing to AI/ML research.
What I work on
- Production web applications, APIs, and services with maintainable architecture and strong operational reliability.
- Applied machine learning components, retrieval pipelines, and model-backed product features.
- Engineering workflows that keep delivery measurable, reproducible, and stable.
How I build
I treat software work as an experimental process: define assumptions, implement carefully, measure behavior, and iterate based on evidence. Real systems make tradeoffs explicit.
This mindset translates directly to my AI/ML trajectory: disciplined evaluation, attention to data quality, and clear reasoning about model behavior in practical environments.
What I'm sharpening right now
Statistical learning
Probability, inference, and optimization fundamentals that support robust ML reasoning.
ML systems evaluation
Model assessment, retrieval quality, and failure analysis for reliable applied AI features.