Stefan Seefeld is a Lead Software Engineer in Montreal with 26 years of experience building system-level, scientific, and performance-sensitive software across industry and the Free Software community. He blends deep C++ metaprogramming and HPC expertise (CUDA, OpenMP, MPI, SIMD) with hands-on work in Python ecosystems—contributing to major projects like Boost, Numba and Conda—to bridge low-level performance and high-level developer usability. At Think Surgical he leads engineering efforts while maintaining long-term stewardship of Boost libraries (Python, GIL, uBLAS), evidencing both product delivery and open-source maintenance at scale. He has a strong track record in benchmarking, test automation, and domain-specific modeling, and he routinely mentors developers and coordinates cross-functional releases. Notably, his open-source contributions include embedding Python into C++ and CUDA device-level features, showing a rare mix of systems programming and scientific computing fluency.
26 years of coding experience
12 years of employment as a software developer
Biophysics, Biophysics at Université de Montréal
M.Sc., Theoretical Physics, M.Sc., Theoretical Physics at Humboldt-Universität zu Berlin
Contributions:9 reviews, 215 commits, 142 PRs in 17 years 6 months
Contributions summary:Stefan contributed to the `boostorg/python` repository, which is a Boost.org python module, by adding and improving support for embedding Python within C++. They implemented basic embedding support, including functionalities for running Python code from within C++ and accessing Python objects. The user also made bug fixes and enhanced existing tests, demonstrating their involvement in the core functionality and maintenance of the module. Furthermore, they added examples to the documentation.
Contributions:61 commits, 33 PRs, 429 pushes in 2 years 4 months
Contributions summary:Stefan primarily contributed to the testing and maintenance aspects of the Boost.GIL library. Their work involved fixing warnings and compiler issues, improving the portability of test paths, and splitting tests into separate executables. They also implemented actual I/O operations during testing and conditionalized png tags based on libpng API changes. These contributions helped improve the quality and functionality of the image processing library.
imagecpprasterimage-librarygil
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Stefan Seefeld - Lead Software Engineer at Boost C++ Libraries