David Hauser

AI Software Engineer at LatentMind

Linz, Upper Austria
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Summary

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Senior
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Top School
David Hauser is a founder and full‑stack JavaScript engineer with eight years of hands‑on experience building blockchain, eCommerce and AI products from concept to market. He founded multiple ventures including an NFT marketplace and a P2P Bitcoin trading platform, and now leads LatentMind, applying AI to automate sales, support and document workflows. With a master’s degree in Artificial Intelligence and practical roles ranging from product chief to technology consultant at EY, he blends research‑level ML knowledge (including foundation model training) with pragmatic product delivery. He has a track record of connecting physical devices to blockchain systems and shipping low‑friction web3 experiences, and often combines deep learning and quantum/gen‑AI interests in experimental projects. Based in Linz, Austria, he thrives on novel technical challenges and cross‑disciplinary solutions that turn complex problems into usable products.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Johannes Kepler Universität Linz
bookHigher Level: German, English, Geography Standard Level: Math, Chemistry, Economics, Higher Level: German, English, Geography Standard Level: Math, Chemistry, Economics at International Baccalaureate
bookWirtschaftsinformatik, Wirtschaftsinformatik at WU (Vienna University of Economics and Business)
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Github Skills (36)

simulation9
metamask9
android8
physics8
javascript8
react-native7
transformers7
pytorch7
ios7
stylegan7
machine-learning7
cryptocurrency7
ethereum7
ai7
blockchain7

Programming languages (5)

TypeScriptC++Jupyter NotebookPythonDart

Github contributions (5)

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Contributions:112 commits, 277 pushes, 8 branches in 1 month
kinggongzilla/FastV

Dec 2024 - May 2025

[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Contributions:2 PRs, 65 pushes, 6 branches in 5 months
inferencelanguage-modellayer2
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