About
I am a graduate student with a strong interest in Large Language Models (LLMs), Embedding-Based Retrieval, Semantic Search, Vector Databases, and Explainable AI (XAI). My Master's thesis at the University of Helsinki focused on explaining language model outputs through retrieval from training data using Transformer Embeddings and Vector Similarity Search. I enjoy building end-to-end Natural Language Processing (NLP) systems that combine machine learning research with practical engineering, and I am particularly interested in developing transparent, interpretable, and trustworthy AI systems.