Andy Regensky is a software engineer and research associate specializing in image and 360-degree video signal processing, with nine years of experience building high-performance systems in C/C++, Python, CUDA, PyTorch and OpenCV. He designed and published practical coding tools that improved bitrate efficiency for both traditional codecs (H.266/VVC) and AI-based compression—achieving measurable savings of over 3% and 7% respectively—and engineered an uncompressed 8K 360° capture system handling >3.2 GB/s. Combining a PhD in Information Technology with hands-on firmware and hardware integration experience, he bridges algorithm research and production implementation, from generative model training to embedded camera firmware. Known for a pragmatic problem-solving mindset, Andy has also reduced testing costs via a large-scale codec testing framework and mentored students while presenting at top conferences and journals.
9 years of coding experience
5 years of employment as a software developer
Dr.-Ing. (PhD), Information Technology, 1,0 (mit Auszeichnung bestanden), Dr.-Ing. (PhD), Information Technology, 1,0 (mit Auszeichnung bestanden) at FAU Erlangen-Nürnberg
Python package for reading and writing uncompressed yuv image and video data.
Contributions:6 releases, 11 commits, 3 PRs in 1 year 1 month
uncompressedpythonimage-processingyuvreader
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Andy Regensky - Wissenschaftlicher Mitarbeiter at Fraunhofer IIS