Gregor Beyerle is a machine learning engineer and data scientist based in Vienna with 11 years of experience building research-driven ML solutions and production-grade software across healthcare, energy, and industrial domains. He blends deep technical skills in ML/DL, time-series systems, cloud engineering and .NET/Java backends with practical product delivery—having shipped predictive maintenance and scalable time-series platforms and contributed to VR, frontend and Azure-based analytics stacks. Currently driving ML research and applied engineering at Treetop Medical while volunteering as an EMT trainee, he brings a rare combination of medical domain exposure and hands-on emergency care perspective to healthcare ML. His academic background spans biomedical engineering and data science masters work, and he teaches and mentors at the university level, reflecting a strong commitment to knowledge transfer. Notably, he has practical HPC and IoT experience from integrating time-series software into high-performance environments, highlighting an ability to move models from prototype to operational, resource-constrained settings.
11 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Biomedical/Medical Engineering, Bachelor’s Degree Biomedical/Medical Engineering at Fachhochschule Technikum Wien
Dr. med. univ. Medicine, Dr. med. univ. Medicine at Medical University of Vienna
Master of Science - MS Data Science, Master of Science - MS Data Science at FH Kufstein Tirol – University of Applied Sciences
Static site generator using type safe F# DSL to define page templates.
Contributions:22 pushes, 16 branches in 2 years 3 months
static-sitedsltype-safesite-generatordrone-ci
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Gregor Beyerle - Machine Learning Engineer at Wiener Rotes Kreuz