Felix Riese is a product leader and physicist with a Ph.D. in remote sensing & AI and an MBA, currently heading product at Munich mobility startup Peter Park. He combines 10+ years of quantitative research and 9+ years of applied data science/ML with hands-on Python tooling (author of the "susi" package and PyCon.DE speaker) to translate first-principles thinking into impactful products. His experience spans managing cross-functional teams, mentoring ML engineers, and running field campaigns and complex projects in international settings. Comfortable at the intersection of research, engineering, and business, he has moved between academia, diagnostics, and mobility, consistently turning advanced models into production-ready solutions. An unexpected strength is his track record in orchestrating remote and in-field teams—from supervising remote student researchers to leading measurement campaigns in Peru—demonstrating both technical depth and operational grit.
10 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Collège des Ingénieurs
Master of Science (M.Sc.), Master of Science (M.Sc.) at Karlsruhe Institute of Technology (KIT)
English, Spanish, German
Github Skills (137)
python10
forge10
topological-data-analysis10
semi-supervised-learning10
unet-image-segmentation10
classification-algorithm10
convolutional-neural-networks10
statistics10
soil10
classification10
unsupervised-learning10
supervised-learning10
sentinel10
self-organizing-map10
hierarchical10
Programming languages (7)
TypeScriptC++TeXHTMLJupyter NotebookRich Text FormatPython
Hyperspectral Processing Scripts for the HydReSGeo Dataset
Contributions:4 releases, 12 commits, 2 PRs in 1 year
datasethyperspectral
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