Alexander Hirner
CTO at Dishtracker
Linz, Upper Austria
Summary
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Rockstar🎓
Top SchoolAlexander Hirner is a CTO and entrepreneur with 12 years of experience building machine learning solutions for unstructured data and embedded systems, currently leading engineering at MoonVision and Dishtracker from Linz, Austria. He blends technical leadership with business strategy, holding an SIMC master’s and an MBA exchange at UC Irvine, and earlier training in mechatronics and robotics. A blockchain early‑adopter who founded Ethereum Vienna and researches frictionless data markets at the intersection of AI and distributed ledgers, he wrote a thesis on confidential data-sharing for eScience. Hands‑on in open source quality engineering, he has improved testing and edge‑case coverage for widely used Python filesystem specs. His background spans productizing research (hackathon winner, conference organizer, policy advisory) and scaling teams and go‑to‑market efforts, bringing a rare mix of ML, embedded systems, and commercial acumen. Colleagues describe him as driven to make humans smarter with computers—and vice versa—often focusing on the practical glue between models, data, and deployment.
12 years of coding experience
6 years of employment as a software developer
Ing. Mechatronics Robotics and Automation Engineering, Ing. Mechatronics Robotics and Automation Engineering at Higher Technical School (HTL) SteyrBachelor’s Degree Business Administration: Strategy and Management Control / International Business, Bachelor’s Degree Business Administration: Strategy and Management Control / International Business at Sun Yat-sen UniversityMaster's Degree Strategy Innovation and Management Control (SIMC), Master's Degree Strategy Innovation and Management Control (SIMC) at WU (Vienna University of Economics and Business)University of California, Irvine
English, German, Chinese
Stackoverflow
36reputation
210reached
1answer
0questions
Github Skills (9)
fsspec10
pytest10
python10
test-automation10
convolution6
nlp6
deep-learning6
theano6
natural-language-processing6
Programming languages (15)
Github contributions (5)
fsspec/filesystem_spec
Oct 2020 - Nov 2020
A specification that python filesystems should adhere to.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 7 comments in 24 days
Contributions summary:Alexander primarily focused on improving the testing framework of the `fsspec/filesystem_spec` repository. Their commits involved adding and modifying tests for the `expand_path` function, including edge cases and recursive behaviors, which clarified expected functionality. They refactored tests, added test cases, and updated the tests to align with the specifications of the filesystem implementations.
filesystempython
ahirner/pytorch-retraining
May 2017 - Sep 2020
Transfer Learning Shootout for PyTorch's model zoo (torchvision)
Contributions:26 commits, 2 PRs, 14 pushes in 3 years 4 months
pytorchtorchvisiontransfer-learningbenchmark
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