Machine Learning Researcher focused on representation learning, explainable AI, and scalable data-driven systems.
🎓 MSc Data Science — Eötvös Loránd University
🧠 Research interests: foundation models, neural representation learning, explainability, large-scale ML systems
🔬 Working on representation transferability in self-supervised transformer models
📊 Experience in distributed ML, streaming data, and model interpretability
- Representation Learning
- Explainable AI (XAI)
- Foundation Models
- Self-Supervised Learning
- Neural Signal Processing
- Imbalanced Learning & Oversampling
- Scalable Machine Learning Systems
- Machine Learning & Deep Learning
- Model Interpretability & Surrogate Modeling
- Distributed Computing & Data Streaming
- Large-scale Data Processing
- GPU-accelerated ML
LinkedIn: https://www.linkedin.com/in/soma-tohidinia
Email: somatohidinia@gmail.com