Stanley Seibert
Senior Director Of Community Innovation
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolStanley Seibert is a senior software leader and scientist with 14 years of experience building open-source data and scientific computing tools from Austin, Texas. As Senior Director of Community Innovation at Anaconda he manages developer teams while contributing substantive backend engineering to prominent projects like conda, numba, llvmlite, and intake. His hands-on work spans Python compiler internals, GPGPU/CUDA integration, and data ingestion APIs—evidenced by contributions that improved CUDA detection, JIT performance, managed CUDA memory, and Intake’s catalog/server architecture. Trained as a physicist (Ph.D., UT Austin), he brings experimental rigor and Monte Carlo expertise to practical software problems, and has a rare mix of research pedigree and production-grade package management experience. Colleagues value him for turning deep numerical and systems-level knowledge into maintainable, well-documented open-source features that support the wider data-science ecosystem.
14 years of coding experience
17 years of employment as a software developer
Ph.D. Physics, Ph.D. Physics at The University of Texas at AustinB.S. Physics Computer Science, B.S. Physics Computer Science at Arizona State University
Github Skills (43)
api-rest10
c-language10
strings10
gpgpu10
python10
package-management10
api-design10
restful-api10
pycuda10
llvm10
text-manipulation10
conda10
cmake10
data-management10
numpy10
Programming languages (18)
Github contributions (5)
intake/intake
Aug 2017 - Jun 2018
Intake is a lightweight package for finding, investigating, loading and disseminating data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:170 commits, 29 PRs, 54 pushes in 10 months
Contributions summary:Stanley's contributions focused on refactoring and restructuring the Intake catalog system, primarily centered around the server-side components. They implemented changes to the internal DataSource and Catalog APIs to simplify and improve their functionality. Moreover, they added support for data source authentication and various compression methods, such as gzip and snappy, to enhance data transfer.
pythondata-sciencedata-accessfindingsinger
numba/llvmlite
Dec 2014 - Mar 2022
A lightweight LLVM python binding for writing JIT compilers
Role in this project:Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:5 reviews, 102 commits, 85 PRs in 7 years 4 months
Contributions summary:Stanley contributed to the llvmlite project by making changes related to build processes and system configuration. They modified build scripts for different platforms, including adding support for the RISCV target and the M1 architecture. The user also updated the documentation and made code changes related to the LLVM build process, demonstrating expertise in build systems and infrastructure management for the project.
llvmcompilerspythonjitcompiler
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