Christian Schärf is a software engineer with 11 years’ experience specializing in high-performance C++ (up to C++17) and Python for scientific computing, deep learning, and Qt-based GUIs. He combines hands-on systems work—profiling with perf, static analysis, containerized toolchains—with production ML integration using libtorch, PyTorch, FastAPI and Redis. As former CTO at a computer-vision startup he led both software and ML development, shipping model-backed services and CI-tested deployments. An active open-source contributor, he improved power monitoring in the popular s-tui utility by adding AMD energy readers and cross-platform Python formatting. Trained as a chemist (MSc), he brings a research-driven approach to engineering complex numerical and vision problems and a knack for turning academic algorithms into deployable software.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at The Julius Maximilians University of Würzburg
Contributions:7 commits, 2 PRs, 8 comments in 2 months
Contributions summary:Christian contributed to the `s-tui` project by implementing and improving power consumption monitoring features. They added support for reading power draw from the `amd_energy` kernel driver, which involved modifying existing code and incorporating new functionalities. The user also refactored the code by implementing string formatting for broader Python compatibility and by removing commented code. Furthermore, they introduced a new reader to obtain power data from AMD CPU MSRs.
Contributions:60 pushes, 18 branches in 2 years 2 months
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Christian Schärf - Softwareingenieur at e.solutions GmbH