Joshua Mills
Applied Scientist II at Amazon
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolJoshua Mills is an Applied Scientist II at Amazon with eight years of experience applying machine learning and NLU to production voice assistant systems on the Alexa team. He combines academic rigor from a PhD in particle physics with practical ML engineering, having developed deep-learning reconstruction methods for the MicroBooNE liquid-argon neutrino detector before moving to Alexa to ship model updates and new features. His day-to-day blends large-scale data analysis, defect/drift investigations, and production code to ensure robust model performance for customers. Comfortable moving between research deep-dives and product timelines, he brings a rare mix of domain expertise in experimental physics and hands-on ML systems engineering based in Greater Boston.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Particle Physics, 3.90, Doctor of Philosophy - PhD, Particle Physics, 3.90 at Tufts UniversityBachelor's degree, Magna Cum Laude, Physics, 3.50, Bachelor's degree, Magna Cum Laude, Physics, 3.50 at Colgate University
Github Skills (15)
correspondence6
segmentation5
pixel4
python3
pytorch3
pose-estimation3
detectron3
docker2
broker2
laravel2
machine-learning2
php2
deep-learning2
mask-rcnn2
computer-vision2
Programming languages (3)
Github contributions (5)
NuTufts/Detectron.pytorch
Dec 2018 - Jun 2022
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Contributions:3 PRs, 58 pushes, 7 branches in 3 years 6 months
detectronpytorch
NuTufts/WCOpReco
Sep 2018 - Nov 2018
Contributions:128 pushes in 1 month
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