Chris Osborn
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Osborn is a physicist-turned-software leader with a decade of experience building quantum software, cloud platforms, and startups from San Francisco. He led engineering teams at Rigetti to deliver core parts of Quantum Cloud Services and contributed key functionality and testing to pyQuil, the widely used Python SDK for quantum programming. As a co-founder of Enombic and earlier founder/CEO of Cache Finance, he combines product instincts and machine learning problem framing with hands-on full-stack implementation. His background includes PhD-level experimental physics work on ultracold strontium and published research, which informs a rigorous, measurement-driven approach to engineering. Known for moving fluidly between low-level scientific experimentation and production-quality software, he’s currently on an indefinite software sabbatical while exploring new technical directions.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Columbia University in the City of New YorkBachelor of Science (B.S.), Physics, Magna Cum Laude, Bachelor of Science (B.S.), Physics, Magna Cum Laude at University of Rochester
Stackoverflow
83reputation
3kreached
2answers
2questions
Github Skills (14)
quantum-computing10
pytest10
python10
quil10
apidoc9
api9
documentation8
ios6
sqlite6
uitextfield6
postgresql6
iphone6
sqlalchemy6
database6
Programming languages (5)
Github contributions (5)
rigetti/pyquil
Jan 2018 - Mar 2019
A Python library for quantum programming using Quil.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 28 PRs, 65 pushes in 1 year 2 months
Contributions summary:Chris made significant contributions to the `pyquil` library, primarily focused on improving the core functionality and testing of quantum programming features. Their work included implementing the `exponentiate_pauli_sum` function and related tests, enhancing documentation, and refactoring code for clarity. Furthermore, the user addressed issues related to device specifications and the QVM connection, adding features to store ISA and NoiseModel information. This includes incorporating specifications and applying noise models in the QVM to the running program.
python-librarypythonquantum-computingquantumquantum-programming
dialectlabs/protocol
Aug 2021 - Apr 2022
Contributions:10 reviews, 408 commits, 26 PRs in 8 months
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