Alexander Pfyffer
Co-Founder at Wonderfill (formerly fountain)
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolAlexander Pfyffer is a founder and self-taught software engineer with nine years of experience building AI-driven products at the intersection of circular economy and consumer tech. He co-founded VAY (acquired by Nautilus in 2021) and now leads Wonderfill, bringing product-focused engineering and go-to-market experience to early-stage ventures. His work spans mobile (React Native), computer vision, VR, and deep learning—highlighted by an LSTM that can identify cerebral palsy symptoms from motion-capture data and an AI fitness coach shipped on iOS and Android. With a summa cum laude master's in Business Administration and a computer science minor from Universität Zürich, he blends business strategy with hands-on ML engineering. Less obvious: he has taught and automated components of a university deep learning course, showing an aptitude for translating research into scalable teaching and product systems. Based in Zurich, he focuses on practical AI solutions that enable circular, health, and immersive experiences.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Business Administration (Major), Computer Science (Minor), summa cum laude, Master's degree, Business Administration (Major), Computer Science (Minor), summa cum laude at Universität ZürichBachelor of Business Administration - BBA, Betriebswirtschaftslehre, 5.1, Bachelor of Business Administration - BBA, Betriebswirtschaftslehre, 5.1 at Universität Zürich | University of Zurich
German, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
machine-learning9
wifi7
healthkit7
location7
bluetooth6
brightness5
react5
ios4
react-native4
sdk2
system2
react-native-notifications1
Programming languages (6)
Github contributions (5)
Vollkorn01/vollkorn01.github.io
Nov 2020 - Apr 2026
Contributions:14 pushes, 2 branches in 5 years 5 months
Vollkorn01/Deep-Learning-Fitness-Exercise-Correction-Keras
Jun 2019 - Jun 2019
Machine Learning Course at University of Zürich
Contributions:42 commits, 1 push in 10 days
machine-learning
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