I am pursuing a Master's degree in Computer Science at the Technical University of Munich. I currently hold a working student position in machine learning at Cruise, where I work on 3D detection in autonomous driving.
My main areas of interest are generally applicable ML methods, foundation models (CV, NLP) and applications of deep learning for building tools for thought and tools to augment human learning. I am also interested in general SWE, particularly in getting things to run fast with high-performance code.
I received my Bachelor's degree in Computing from the University of Zagreb in 2022. My thesis was in the area of computer vision. The main focus of the thesis was multi-domain semantic segmentation, where I developed a novel algorithm for deducing the sub/super/equal relationships between classes.
In 2024 I was selected as one of the winners of the OpenAI Preparedness Challenge , for providing novel ideas for catastrophic misuse of frontier models and societal harm prevention. This included a prize worth $25,000 in API credits.
An ML powered song recommendation website based on finding songs with similar vibes. It uses an audio embedding model with the database spanning over a million songs. The website is built with React, with the model side in PyTorch and the data and embeddings handled by PostgreSQL (pgvector). (click!)
A small modular raytracer written in C++. Along with the usual suspects, it includes SSE optimized sphere intersection calculation, raymarched implementation of the mandelbulb fractal and a portable JSON scene representation format. (click!)
A project aimed at making language learning more efficient. It is based on the N+1 language acquisition principle. The website aggregates target language (TL) material and orders it based on a quality score. Among other things, the score is based on the proportion of sentences that are N+1 and the frequency (usefulness) of the learned word(s).
A DiffAugment StyleGAN2 trained on 32x32 sprites. The model was trained in early 2022. While the outputs are far from perfect and do exhibit partial mode collapse, to my knowledge this was the SOTA in equipment sprite generation at a fixed size at time of release. (click!)
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