István Üveges• ML engineer & computational linguistMachine Learning for real-world impact
NLP, Plain Language & AI research with practical impact.
From research to applications, my focus is on clarity, reliability, and results that matter.
How plain and non-plain sentences separate in embedding space.
About me
I am István Üveges, a computational linguist and Machine Learning researcher with a PhD in linguistics and a BSc in computer science. I specialize in Natural Language Processing (from classical models to Large Language Models) with a strong focus on clarity, interpretability, and practical impact. I work with organizations to turn text data into actionable insights, building solutions that are transparent, reliable, and tailored to real-world needs. Alongside research and applied projects, I write professional blog posts to make AI and NLP more accessible to a broader audience.
What Machine Learning Means in Practice
Machine learning is a practical tool for making sense of data. From solid baselines to cutting edge language models, I apply a wide range of methods with one goal in mind: clarity and understanding.
Let’s Work Together
Practical NLP and Machine Learning solutions tailored to real-world text challenges. From rapid prototyping to audits and explainability, I focus on clarity, robustness, and impact.
I usually reply within 24 hours. Currently at HUN-REN CSS • POLTEXTLAB