Conrad Stansbury
Software Engineer at Waymo
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolConrad Stansbury is a software engineer with 14 years of experience who combines deep experimental physics expertise with production-grade software and ML engineering. He built PyARPES, a widely used analysis framework that brought high-dimensional photoelectron spectroscopy data under a common model, and has translated that domain knowledge into data pipelines, tooling, and deployed ML systems at startups and at Waymo. His PhD work at UC Berkeley led to publications in Science Advances and JHEP, while his leadership roles (including Head of ML at HyperSpectralAPD) demonstrate an aptitude for taking prototypes into operational services that handle hundreds of gigabytes and real-time inference. Comfortable across Python, C++, cloud storage, and full-stack product work, he uniquely bridges experimental measurement, reproducible scientific software, and scalable engineering.
14 years of coding experience
4 years of employment as a software developer
Master of Arts - MA, Physics, Master of Arts - MA, Physics at University of California, BerkeleyHigh School, High School at The Potomac SchoolBachelor's degree, Physics, Graduated with Distinction and Honors, Bachelor's degree, Physics, Graduated with Distinction and Honors at Stanford University
English
Github Skills (37)
python10
xps10
gitlab10
condensed-matter-physics10
physics10
data-acquisition10
data-analysis10
reactivity9
data-visualization8
data-collection8
react7
quantum-mechanics6
netcdf5
dft5
computational-physics4
Programming languages (8)
Github contributions (5)
chstan/autodiDAQt
Sep 2019 - Mar 2022
AutodiDAQt is DAQ + UI generation + Reactivity + Instruments
Contributions:202 commits, 16 PRs, 59 pushes in 2 years 7 months
reactreactivitydaqdatadata-acquisition
chstan/CS259D
Oct 2014 - Dec 2014
Contributions:38 commits in 2 months
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