Mato Gudelj
I recently graduated with a Master's degree in Computer Science from the Technical University of Munich. The focus of my thesis was Machine Unlearning in LLMs. I did my Bachelor's degree in Computing at the University of Zagreb in 2022.
My main areas of interest are generally applicable ML methods, foundation models (CV, NLP) and applications of deep learning for building tools for thought.
Projects
A novel system for interacting and learning with LLMs, revolving around rich interconnected generative documents. Includes courses, spaced repetition, LaTeX support and more! Initial version built in two weeks for the Build with Claude contest.
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. Uses an audio embedding model with database spanning > 1 million songs.
Contact
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