He has experience in corpus design, dependency grammar tagging, Python programming, and implementing NLP projects like text classification (sentiment analysis / emotion detection), word embeddings and fine-tuning LLMs. His true passion lies in developing datasets and linguistic corpora for NLP or linguistics research. He is eager to contribute to the creation, design, and optimization of linguistic corpora, bridging the gap between corpus-based / usage-based psycholinguistics and computational processing of language.