Summary
Michelle Mcsweeney is a Staff Learning Architect and data scientist with 10+ years of experience specializing in NLP, data storytelling, and building learning products that make complex models accessible. She blends academic rigor—holding a PhD in Computational Linguistics and years teaching LLMs, NLP, and visualization—with product leadership experience launching LLM-powered educational tools and scaling content teams. Michelle has led multilingual NLP deployments, authored two books on language and technology, and designs hands-on labs (LangChain, fine-tuning BERT/LLaMa2) that bridge research and applied engineering. She’s known for fostering individual ownership and collaboration across interdisciplinary teams and for turning engagement data into course and product strategy that measurably improves outcomes. An often-overlooked strength is her background in linguistically informed fieldwork and curriculum design from Peace Corps experience, which informs her attention to culturally aware, practical learning experiences.
10 years of coding experience
12 years of employment as a software developer
Summer Doctoral Programme, Oxford Internet Institute, Summer Doctoral Programme, Oxford Internet Institute at University of Oxford
Certificate, Interactive Technology and Pedagogy, Certificate, Interactive Technology and Pedagogy at The Graduate Center, City University of New York
Doctor of Philosophy (Ph.D.), Linguistics (Computational), Doctor of Philosophy (Ph.D.), Linguistics (Computational) at City University of New York Graduate Center
Bachelor of Arts (B.A.), Chemistry and Mathematics, Bachelor of Arts (B.A.), Chemistry and Mathematics at Michigan State University