Amund Tveit
Principal AI Engineer at Tieto
Trondheim, Trøndelag, Norway
Summary
🤩
Rockstar🎓
Top SchoolAmund Tveit is a Principal AI Engineer with 15 years of experience building production-grade AI, data and product solutions across Google, Microsoft and high-growth startups. He blends deep research credentials (PhD, NTNU) and hands-on engineering—publishing an open-source DeepLearningKit for iOS and developing Swift/Metal CNNs—while founding Atsentia and a previous startup focused on brain-controlled search. At Microsoft he led evaluation and synthetic data efforts for Copilot and published work on optimizer dynamics, and at YouTube and Zedge he drove large-scale personalization, recommendation and cost-saving infrastructure migrations. Comfortable switching between technical leadership, product management and applied research, he excels at turning experimental models into reliable services on billion-user surfaces. Based in Trondheim, he pairs strong academic rigor with pragmatic mobile and cloud deployment experience, including uncommon expertise in on-device deep learning and realtime recommendation systems.
15 years of coding experience
20 years of employment as a software developer
Nanodegree, Deep Learning Foundations, Nanodegree, Deep Learning Foundations at UdacityNorwegian University of Science and Technology
English, Norwegian
Stackoverflow
69reputation
4kreached
2answers
0questions
Github Skills (11)
metal10
swift10
uikit10
ios10
accelerator9
acc9
acceleration9
deep-learning8
caffe6
mapreduce6
amazon-ec26
Programming languages (4)
Github contributions (5)
DeepLearningKit/DeepLearningKit
Dec 2015 - Jul 2016
Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
Role in this project:
Mobile Developer (iOS)
Mobile Developer (iOS)Contributions:38 commits, 2 PRs, 32 pushes in 6 months
Contributions summary:Amund primarily contributed to the iOS application, as evidenced by modifications to Swift code and the addition of an example iOS deep learning application. They fixed access bugs in the API related to initialization and loading. Furthermore, the user included image support functions to convert between RGBA and UIImage formats. These contributions indicate the user's focus on developing and improving the iOS application.
tvosdeep-learningmachine-learningswiftios
atbrox/atbr
Apr 2012 - May 2013
Contributions:70 commits in 1 year 1 month
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