Summary
Jeffrey Gao is a data-focused software engineer and undergraduate researcher based in San Jose with 11 years of hands-on experience building data pipelines, ML models, and applied research tools. Currently balancing roles at Google (LLM safety), Berkeley Lab (ENIGMA database), and leadership at SAAS Berkeley, he combines production engineering with academic research in geospatial and temporal modeling. His background includes internships and projects at Meta, EPA, Kohl’s, and startups, where he built scalable ETL pipelines and applied ML to environmental and market-insight problems. A senior mentor for UC Berkeley’s Data Structures course and former nonprofit co-president, he blends technical mentorship with community leadership. Jeffrey’s profile reflects a strong appetite for cross-disciplinary collaboration and a knack for turning messy real-world datasets into actionable systems.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Data Science, Bachelor of Arts - BA, Data Science at University of California, Berkeley
Lynbrook High School