About
I am a PhD student at Eötvös Loránd University researching Machine Unlearning, with three years of experience working with Deep Neural Networks, Machine Learning, and Reinforcement Learning. I am also knowledgeable in MLOps, Natural Language Processing (NLP), and Graph Neural Networks. Additionally, I am an instructor at the university, teaching two master’s classes in the Department of Artificial Intelligence: Deep Network Development and Collective Intelligence.
I often participate in online hackathons and Kaggle competitions. My current research focuses on scalability in Multi-Agent Reinforcement Learning, as well as Machine Unlearning and its applications in Reinforcement Learning, Natural Language Processing, and Complex Systems. I am passionate and resilient in my work.
I am also a staff researcher working on the project APOLLO2028, which is funded by the EU.
Looking ahead, I am excited to complete my PhD program. My goal is to become an expert in transforming complex data challenges into practical, deployable, and impactful software solutions for real-world applications.
I also like bouldering. A lot.
Aaaand I also have a cat…
