ABOUT

Linguistics, NLP, and research-oriented development

Background, interests, and the kind of work I enjoy.

Overview

I have a background in English linguistics with a strong focus on formal and computational approaches to language. Over time, this led me toward NLP, statistics, and programming, where I now focus on building and evaluating language models.

I’m particularly interested in how neural models handle structure, compositionality, ambiguity, and low-resource settings.

Skills & project areas

Language & NLP

Formal language training connected to computational and applied NLP work.

Linguistics NLP Research Cognitive Science

Machine Learning

Modeling, fine-tuning, and evaluation work with language models.

ML Transformers PyTorch Sequence Learning

Programming & Tools

Practical development, experimentation, and tooling for language data.

Python Tools Data Analysis Audio

Click a skill to see related projects.

Direction

I’m interested in roles or projects that combine language, data, and systems—especially in research-oriented or technically deep environments.