Andreas Jakl
Deputy Academic Director Digital Healthcare Degree Program at USTP – University of Applied Sciences St. Pölten
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolAndreas Jakl is a digital healthcare professor and deputy academic director with 12+ years of experience building mobile, AR/VR and machine learning solutions across industry and academia. He blends hands-on engineering—publishing open source libraries for immersive tech and contributing Python back-end enhancements to projects like the Arlo camera module—with curriculum and program leadership at St. Pölten UAS. A former Microsoft MVP and AWS Community Builder, he has led developer trainings, founded the mobility.builders event series, and commercialized award-winning location-based and IoT voice apps through his startup work. His background spans product engineering at Nokia and cloud-enabled PaaS architectures for industrial customers, showing a knack for connecting device-level innovation to scalable backends. Notably, his early games amassed millions of downloads and his NFC/Beacon work remains a rare open-source resource for immersive Windows platforms. He combines academic rigor with entrepreneurial execution, mentoring the next generation of digital health technologists while still shipping practical developer tooling.
12 years of coding experience
14 years of employment as a software developer
Master of Science (MSc), Digital Media, Master of Science (MSc), Digital Media at University of Applied Sciences Upper Austria
English, German
Stackoverflow
301reputation
23kreached
3answers
0questions
Github Skills (13)
iot10
python10
automation9
automations9
http-request8
mifare6
camera6
nfc6
uwp6
windows6
windows-phone6
windows-runtime6
ibeacon6
Programming languages (6)
Github contributions (5)
jeffreydwalter/arlo
Jul 2017 - Jul 2017
Python module for interacting with Netgear's Arlo camera system.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 1 PR, 2 comments in 7 days
Contributions summary:Andreas primarily focused on enhancing the `arlo` Python module, adding functionality for interacting with Netgear's Arlo camera system. Their work included porting the module to Python 3, developing an example script to download video recordings, and improving the download process by adding features like configuring the video save path. They also addressed backward compatibility by maintaining a Python 2 version. Additionally, the user added documentation links.
pythoncameranetgearpython-moduleautomation
andijakl/raspberry-pi-public-transport
Oct 2016 - Jul 2017
Contributions:8 commits, 7 pushes, 1 branch in 8 months
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