William Qvaale
Data Scientist
Bergen, Vestland, Norway
Summary
👤
Senior🎓
Top SchoolWilliam Qvaale is a data scientist with eight years of hands-on experience building production-ready data and ML systems across media, finance, and startups. Currently at TV 2 in Bergen, he moved into data science after senior roles at Norges Bank where he bridged machine learning and data engineering to operationalize models for critical workflows. His background includes backend engineering in Scala, graph databases and GraphQL at Strise, plus full-stack and mobile prototypes from earlier internships, giving him a rare mix of ML, data infrastructure and API design skills. William’s work style is pragmatic and TDD-influenced, and he has experience turning research-level ideas from his master’s studies into maintainable production code. Comfortable in regulated environments, he combines analytical rigor with product-oriented delivery to surface actionable insights. Colleagues would note his steady progression from intern to senior technical roles and his ability to translate complex data problems into practical, auditable solutions.
8 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The University of QueenslandNorwegian University of Science and Technology
German, Norwegian, English
Github Skills (29)
depth-estimation10
pytorch10
anomaly-detection10
gnn10
graph10
time-series10
deep-learning10
visual-odometry10
arxiv10
robotics9
machine-learning9
packaging9
resolver9
robot9
python8
Programming languages (7)
Github contributions (5)
wQvaale/wQvaale
Jul 2020 - Jul 2024
wQuole.md
Contributions:3 PRs, 68 pushes, 2 branches in 4 years
AROS-Vision-Group/Mono-VO
Nov 2020 - Jun 2021
Monocular Visual Odometry (VO) for a robot snake 🐍
Contributions:1 review, 61 commits, 8 PRs in 7 months
roboticspythonvisual-odometryvisionodometry
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