👋 Hello! I'm Sándor, a Mathematics master's student at the Technical University of Munich.
🎓 My academic journey is focused on Machine Learning, Deep Learning, and Mathematical Optimization.
💻 I'm passionate about developing cutting-edge AI technologies, with a particular interest in:
- Large Language Models (LLMs)
- Efficient ML architectures
- Large-scale data analytics for data-driven decision making
- AI model interpretability and reliability
🛠️ Experienced with: Python, PyTorch, Transformers, pandas, R, SQL, Git, Databricks, Tableau
- Develop innovative ML solutions for industry challenges
- Bridge the gap between theoretical ML and practical applications
- Push the boundaries of AI through innovative research
🌱 Currently, I'm diving deep into:
- Developing and optimizing LLMs
- Researching AI interpretability and reliability
- Exploring AI model compression and quantization techniques
- Implementing deep learning methods for applications in Spectrum Monitoring
🌍 When not coding, I'm enjoying long-distance running, exploring new cultures, learning languages, or cooking good food.