Csaba Kertész is a PhD-trained Data Scientist and AI developer based in Budapest with over 20 years of software engineering experience and 15 years focused on data and deep learning. He has built production-grade AI systems for healthcare and robotics—most notably the video-based, non-invasive epilepsy seizure detection backbone—and excels at turning research prototypes into robust, deployable products. Equally comfortable in Python and C++, he has a strong embedded and back-end pedigree from contributions to telescope and camera driver stacks (INDI) and telecom/healthcare projects at Vincit and Nokia. Csaba combines academic rigor with pragmatic engineering, leading cross-functional, multi-location teams to deliver real-time, safety-critical solutions. A detail-oriented problem solver, he often bridges low-level hardware integration with state-of-the-art ML, bringing uncommon depth in both device drivers and modern neural systems.
15 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (PhD), Artificial Intelligence, MSc, Computer Science, Computer Science BSc, Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence, MSc, Computer Science, Computer Science BSc, Artificial Intelligence at Tampere University
Budapesti Műszaki Főiskola
Contributions:133 commits, 96 PRs, 55 comments in 2 years 5 months
Contributions summary:Csaba primarily worked on improving the INDI Core Library, specifically focusing on drivers related to telescope control. The contributions involve debugging and fixing issues in existing drivers, such as Virtuoso mount detection and AltAz calculations. They also added new features, including support for slew commands and silent slewing mode, improving the usability of the telescope control library. The user also updated the documentation to fix misspellings.
Contributions summary:Csaba primarily contributed to the INDI 3rd Party drivers repository by adding support for new versions of QHY cameras. Their work involved modifying configuration files and C++ code to integrate and optimize the drivers for these cameras, fixing crashes and improving robustness. Additionally, the user addressed compiler warnings and performed C++11 and include fixes, ensuring code quality. The contributions indicate a focus on camera driver development and integration within the INDI framework.
domedriversradio-astronomypartycamera
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