Erin Pacquetet

Background

About Erin Pacquetet

Data scientist who specializes in NLP, Computational Linguistic techniques, and the implementation of LLM-based Generative AI strategies. I am passionate about bringing my Linguistic knowledge and Computer Science skills together to provide creative solutions to real-world problems. I have hands-on professional experience building AI-powered applications such as RAG chatbots from scratch. My work includes architecting AI systems, designing optimized LLM prompts, implementing guardrails, and developing evaluation datasets and methodologies to measure performance. Before working in industry, I completed my Ph.D. in Linguistics at the University At Buffalo. where I was trained in statistics, quantitative and qualitative Data Science techniques, and Computer Science. During my time in academia, I have been part of several international research collaborations and projects such as PROTO, a Buffalo team that placed 3rd in the worldwide Amazon Alexa prize competition for Socialbots, or Deep Learning for Language Assessment,(DLLA), a project that aims to use typing data to assess the fluency of language learners, in collaboration with Université de Paris Cité and King's College London.