Felix Riese

Head Of Product at Peter Park

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster of Business Administration - MBA Business Administration and Management, General, Master of Business Administration - MBA Business Administration and Management, General at Collège des Ingénieurs
bookDoctor of Engineering (Dr.-Ing.) Artificial Intelligence & Remote Sensing, Doctor of Engineering (Dr.-Ing.) Artificial Intelligence & Remote Sensing at Karlsruhe Institute of Technology (KIT)
languagesEnglish, Spanish, German
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Github Skills (91)

sphinx-doc10
python10
semi-supervised-learning10
convolutional-neural-networks10
statistics10
webadmin10
data-science10
classification10
unsupervised-learning10
supervised-learning10
self-organizing-map10
machine-learning10
som10
administration10
django9

Programming languages (7)

TypeScriptC++TeXHTMLJupyter NotebookRich Text FormatPython

Github contributions (5)

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Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
Contributions:2 releases, 14 commits, 7 PRs in 2 years 7 months
unsupervised-learningsupervised-learningsemi-supervised-learninghyperspectralpython
Thermal infrared image processing scripts, e.g. for FLIR Tau 2 camera.
Contributions:1 release, 2 commits, 6 pushes in 2 years 11 months
image-processingpythonthermal-camerathermal-imagingsoil-moisture
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