MSc Computer Science @ ETH Zürich
I'm a Master's student in Computer Science at ETH Zürich interested in building intelligent and efficient systems.
My main interests:
- 🤖 Machine Learning systems
- 🧠 Reinforcement Learning
- 📊 Data Science
- ⚡ High-performance C++
- 🤖 Robotics
I enjoy combining algorithms, machine learning, and systems programming to solve complex problems. I’m especially passionate about experimenting with new technologies and tools during hackathons.
Currently working on MapAdapt, a system that reconstructs environments using adaptive resolution mapping.
Goals:
- efficiently represent complex environments
- dynamically adapt map resolution
- reduce memory footprint in robotics pipelines
- improve mapping efficiency
I’m currently exploring degeneration phenomena in Large Language Models in collaboration with the SWISS AI Center
Ongoing project:
- detecting LLM degeneration behaviours
- understanding causes of generation collapse
- designing techniques to avoid degeneration
Worked on a Data Science project with AVIS Milano, analyzing medical datasets related to blood donation.
Main tasks:
- healthcare data analysis
- statistical exploration
- extracting insights for data-driven decision making
Languages
C++ • Python • CUDA • Bash • SQL • sparkSQL • JSONIQ
Fields
Robotics • RL • Data Science • ML • Optimization
Robotics | Reinforcement Learning | Mapping | Optimization | LLMs | Data Science