Patrick Callier

Senior Applied Scientist at Etsy

Palo Alto, California, United States
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Summary

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Senior
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Top School
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.
code13 years of coding experience
job7 years of employment as a software developer
bookPh.D., Linguistics, Ph.D., Linguistics at Georgetown University
bookBachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at Stanford University
languagesChinese, French, English
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Github Skills (29)

pytorch10
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
jax10
algorithms9
toolkits9
sentiment-analysis9
scientific-computing8
supervised-learning8
novelty-detection8
scipy8
neon7

Programming languages (4)

GoJupyter NotebookPythonClojure

Github contributions (5)

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Lab41/pythia

May 2016 - Sep 2016

Supervised learning for novelty detection in text
Contributions:96 commits, 77 PRs, 86 pushes in 4 months
novelty-detectionsupervised-learning
pcallier/pythia

May 2016 - Oct 2016

Contributions:1 PR, 113 pushes, 78 branches in 5 months
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