Hua Gao is a Chief Data Scientist with a decade of experience building production-grade machine learning, NLP, and distributed data systems, currently leading data science strategy at Landbase after senior ML leadership at ZoomInfo. He combines deep academic training (Ph.D. in Electrical Engineering from Stanford) and hands-on circuit design—co-designing a 96-channel neural interface IC—with large-scale industry practice in entity resolution, look-alike modeling, and automated feature pipelines. At EverString he architected unified data pipelines and tensor-processing workflows that resolved hundreds of millions of records and powered billion-scale company graphs, showing a rare ability to bridge low-level hardware design and cloud-scale ML. Based in Palo Alto, he has a broad signal-processing background and a scholarly interest in “prajñā” (wisdom), reflecting a thoughtful approach to extracting meaningful structure from noisy real-world data.
10 years of coding experience
12 years of employment as a software developer
B.S. Electrical Engineering Computer Science (minor), B.S. Electrical Engineering Computer Science (minor) at Columbia Engineering
Ph.D. Electrical Engineering, Ph.D. Electrical Engineering at Stanford University
Contributions:1 release, 6 pushes, 1 branch in 11 months
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