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 (42)
python10
ansible-collections10
xps10
gitlab10
condensed-matter-physics10
physics10
data-analysis10
reactivity8
binding7
react6
netcdf6
datasets6
quantum-mechanics6
pandas5
dft5
Programming languages (7)
Github contributions (5)
chstan/autodiDAQt
Sep 2019 - Mar 2022
DAQuiri := DAQ + UI generation + Reactivity + Instruments
Contributions:202 commits, 16 PRs, 59 pushes in 2 years 7 months
reactreactivitydaq
chstan/arpes
Sep 2017 - May 2022
Mirror of PyARPES (gitlab/lanzara-group/python-arpes) the open source ARPES analysis framework
Contributions:2 releases, 696 commits, 9 PRs in 4 years 8 months
physicsarpesdata-analysispespython
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