3rd year - Bachelor of Science in Computing student at the University of Zagreb, Faculty of Electrical Engineering and Computing.
My studies focus on exploring Artificial Intelligence, Statistical and Computational Modeling and Data Analysis.

The following showcases how I use the acquired knowledge:

A Variational Autoencoder capable of learning compressed latent representations of 2D Gaussian Splatting for the sake of image compression

During my internship at Abysalto, I led key architecture and implementation efforts for a scalable RAG and AI Agent platform. My work involved designing a modular system with the Strategy pattern and implementing advanced information retrieval pipelines.

Winning solution for the CMC25 challenge, achieving the optimal score through manual design assisted by algorithmic fine-tuning.
(Sponsored by AVL-AST)

This repository contains the winning solutions for the M Arena at STEM Games 2025. The competition was divided into theoretical and programming tasks rooted in information theory and error-correcting codes.

This repository contains the solution for the 2024 Computer Modeling Competition (CMC 24), implemented in Julia.

This document details the full theoretical foundation for my solution, covering the problem's formal definition, the derivation of the core algorithms, and the mathematical justification for the chosen approach.

This is a curated collection of my work in algorithms, applied mathematics, and machine learning (pending), presented as formal technical documents.

• Bachelor of Science in Computing | University of Zagreb (2023 - 2026)
  • Josip Lončar Award for outstanding academic achievement (Top 1.5% of class).