Kasey Schultz

Senior Data Scientist

San Diego, California, United States
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Summary

👤
Senior
🎓
Top School
Kasey Schultz is a Senior Data Scientist in San Diego with 12 years of experience blending physics rigor and production ML to solve complex operational problems. With a PhD in Physics, she has moved from high-performance geophysical simulations to deploying multimodal LLM and deep learning systems at scale—most recently orchestrating multi-agent workflows and simulation-driven decision support across 40+ hospitals at Kaiser Permanente. Previously at Intuit she cut data-entry time in half, drove multimodal semantic search that slashed dataset sourcing from weeks to minutes, and consolidated classifiers to save >$100k/year while boosting F1 substantially. She also advises an ocean-energy startup, applying AI to wave-powered IoT, reflecting a rare combination of domain science, NLP/LLM expertise, and product-focused engineering. Colleagues rely on her ability to translate research-grade models into robust, cost-effective production systems that deliver measurable business impact.
code12 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of California, Davis
bookBachelor of Science (BS), Physics, Mathematics, Bachelor of Science (BS), Physics, Mathematics at University of Miami
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Github Skills (11)

fault10
faults10
quake9
nlp5
computer-vision5
artificial-intelligence4
machine-learning4
chatbot4
ai3
generative-ai2
api1

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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kwschultz/vq

Jan 2015 - Jun 2016

Contributions:406 pushes, 6 branches in 1 year 5 months
boundarylong-termfaultinteractionslong
kwschultz/VQModels

Feb 2014 - May 2016

Contributions:81 commits, 73 pushes in 2 years 3 months
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