Summary
George Mcintire is a data science consultant based in Berkeley with 10 years of experience turning complex data into actionable insights for legal, media, and product teams. He specializes in NLP, computational humanities, and audio data, and has applied those skills to fine-tune LLMs for legal opinion analysis, build citation graphs in Neo4j, and develop RAG-enabled applications for custom content generation. His background blends hands-on engineering—ETL pipelines, BeRT NER fine-tuning, vector DBs, and full-stack deployments on AWS—with teaching and mentorship from roles at UC Berkeley, General Assembly, and Metis. Notably, he has led projects that automated taxonomy matching with Word2Vec and produced the first significant analysis of Twitter’s reported-tweet dataset for content-health insights. This mix of applied research, product-focused ML, and pedagogy makes him adept at translating research-grade models into practical tools for domain experts.
10 years of coding experience
5 years of employment as a software developer
Master's degree Information Management and Systems (Data Science Focus), Master's degree Information Management and Systems (Data Science Focus) at University of California, Berkeley
Bachelor of Arts Economics, Bachelor of Arts Economics at Occidental College
English, French