Adrian Celaya
Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAdrian Celaya is a software engineer at Google with 11 years of technical and leadership experience, combining a Ph.D. in Computational and Applied Mathematics from Rice with hands-on machine learning and AI work in consumer health. His research and internships produced novel physics-informed and deep learning methods for medical imaging, geophysics, and CO2 monitoring, with several projects improving existing algorithms by up to 15%. A U.S. Navy veteran, he previously led cybersecurity for the USS Carl Vinson’s 4,000-asset network, achieving the ship’s highest external security rating. Adrian bridges rigorous academic research and production engineering—shipping reusable Python libraries and automated quality-assessment tooling that accelerated product development. Based in San Francisco, he brings a rare mix of operational security experience, advanced applied math, and practical ML deployment.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, 3.96, Doctor of Philosophy - PhD, Computational and Applied Mathematics, 3.96 at Rice University
English, Spanish
Github Skills (30)
pytorch10
drug-discovery10
python10
translation10
mxnet10
machine-learning10
speech-synthesis10
large-language-models10
imaging10
ml10
forecasting10
image-segmentation10
deep-learning10
segmentation10
tensorflow10
Programming languages (3)
Github contributions (5)
aecelaya/aecelaya.github.io
Aug 2019 - Dec 2025
Contributions:78 pushes, 1 branch in 6 years 4 months
mist-medical/MIST
Dec 2020 - Feb 2023
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
Contributions:50 releases, 24 reviews, 67 commits in 2 years 2 months
3dimagingsegmentationdeep-learningmedical-imaging
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