Karl Bedrich is a CTO and former postdoctoral researcher with 13 years of experience specializing in electroluminescence imaging, image quality enhancement, and ageing of photovoltaic modules. He has translated deep academic expertise—including a PhD focused on uncertainty in EL imaging—into commercial aerial, AI-driven inspection products for large-scale PV plants. At Quantified Energy he leads technology strategy while also contributing hands-on to scientific visualization open-source work (notably enhancements to the widely used pyqtgraph library). His background spans experimental measurement, CFD and electron-beam control software, and production-grade imaging pipelines, giving him rare end-to-end fluency from lab metrology to deployed inspection systems. Based in Singapore, he combines rigorous research methods with pragmatic product delivery to reduce uncertainty in PV diagnostics at scale.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Loughborough University
Master’s Degree, Environmental Engineering, Master’s Degree, Environmental Engineering at TU Bergakademie Freiberg
Fast data visualization and GUI tools for scientific / engineering applications
Role in this project:
Full-stack Developer
Contributions:18 PRs, 7 comments in 7 months
Contributions summary:Karl contributed primarily to the pyqtgraph library, implementing features related to gradient editors, axis manipulation, and legend customization. They introduced methods for aspect ratio retrieval and connector line rendering with anti-aliasing, alongside improvements in ImageView timeline visibility. These changes touched upon the core visualization and user interface components of the library, improving usability and visual clarity.
temporary fork - it is aimed to merge most changes with original project
Contributions:71 commits, 25 pushes in 2 years 3 months
mergeminecraftchanges
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Karl Bedrich - Chief Technology Officer at Quantified Energy