Patrick Callier is a Senior Applied Scientist in Palo Alto with 13 years of experience applying research-grade machine learning to real-world problems across computer vision, NLP, acoustics, and risk modeling. With a PhD in Linguistics and a background in social science, he brings uncommon strengths in language, multimodal signal processing, and human-centered measurement to ML productization. His work spans prototyping deep learning systems (from handwriting attribution and document similarity to sentiment and inactivity prediction) through deployment at companies like In-Q-Tel, Square, and Etsy. He combines experimental rigor from academia with pragmatic engineering—building preprocessing pipelines, web frontends, and production-ready models—to bridge research and applied outcomes. Colleagues rely on his ability to translate complex literature into effective, deployable solutions that address noisy, real-world data.
13 years of coding experience
7 years of employment as a software developer
Ph.D., Linguistics, Ph.D., Linguistics at Georgetown University
Bachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at Stanford University
Contributions:1 PR, 113 pushes, 78 branches in 5 months
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