Audun Øygard
Senior Data Scientist
Oslo, Norway
Summary
🤩
Rockstar🎓
Top SchoolAudun Øygard is a Senior Data Scientist based in Oslo with 14 years of experience applying deep learning, computer vision, and experiment design to production problems. He blends research-calibre model development with full-stack engineering—contributing to open-source face and head-tracking JavaScript projects and implementing CIFAR-10 deep residual models in Lasagne. At Schibsted he built cloud image-recognition services and ran NLP and experimentation work, and he now leads data science efforts at Abelee. His background spans mathematics, informatics and fine arts, giving him a rare mix of analytical rigor and visual/UX sensitivity that informs both model design and product-facing features.
14 years of coding experience
6 years of employment as a software developer
Bachelor, Matematikk, Informatikk og Teknologi, Bachelor, Matematikk, Informatikk og Teknologi at Universitetet i Oslo (UiO)Diploma, Fine arts, Diploma, Fine arts at Kunstskolen i BergenUniversity of OsloDiploma, Fine Arts, Diploma, Fine Arts at Kunsthøgskolen i Oslo (KHiO)Grunnfag, Mellomfag, Art History, Grunnfag, Mellomfag, Art History at Universitetet i Bergen (UiB)
English
Github Skills (17)
face-detection10
javascript10
event-handling10
python10
machine-learning10
user-interface10
lasagne10
deep-learning10
web-development10
theano10
computer-vision9
webrtc9
trainings9
mask-rcnn9
modeling9
Programming languages (6)
Github contributions (5)
auduno/headtrackr
May 2012 - Jun 2016
Javascript library for headtracking via webcam and WebRTC/getUserMedia
Role in this project:
Front-end Developer
Front-end DeveloperContributions:66 commits, 1 PR, 5 pushes in 4 years 1 month
Contributions summary:Audun primarily focused on enhancing the user interface and user experience of the headtrackr project. Their commits involved adding parameters for face angle and head position calculations, modifying messaging to use events for modularity, and implementing new UI elements to display project status and messages. Additionally, the user was responsible for integrating fallback video formats and creating a method to stop the stream.
getusermediajavascriptwebcamwebrtc
auduno/clmtrackr
Aug 2012 - Nov 2018
Javascript library for precise tracking of facial features via Constrained Local Models
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:7 releases, 263 commits, 16 PRs in 6 years 4 months
Contributions summary:Audun contributed code across both the front-end and back-end. Their work included adding code, updating documentation, and improving the overall structure of the project. The changes indicate the user worked on implementation and maintaining features of the project, by modifying files related to the face-tracking functionality.
javascript
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