Trygve Svalheim
Leder Og Forretningsutvikler - Maskinlæring Og KI-agenter at Sopra Steria
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolTrygve Svalheim is a leader in machine learning and business development based in Oslo, combining nine years of applied data science with a PhD in Astronomy and Astrophysics. He translates complex, research-grade quantitative methods into operational tools for public sector and industry clients, from national resource simulations for police to GIS-driven emissions and healthcare capacity analyses. At Menon he built end-to-end solutions—including an internal RAG platform and a production-ready generative-AI workflow for Skatteetaten—demonstrating a practical, security-minded approach to deploying LLMs. His background in numerical CMB analysis and HPC gives him unusual depth in uncertainty quantification and signal separation, skills he now applies to socioeconomic and policy problems. An active contributor to open-source scientific tooling, he has improved visualization capabilities in the widely used healpy library, reflecting a strong affinity for clear, interpretable outputs.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Astronomy and Astrophysics, Doctor of Philosophy - PhD Astronomy and Astrophysics at University of Oslo
Stackoverflow
85reputation
3kreached
1answer
6questions
Github Skills (12)
visualization10
visualizations10
python10
matplotlib10
numpy9
geopandas6
pandas6
gis6
networkx6
bash6
dask6
dask-dataframes6
Programming languages (2)
Github contributions (5)
healpy/healpy
Jun 2021 - Apr 2022
Python healpix maps tools
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 review, 33 commits, 2 PRs in 9 months
Contributions summary:Trygve primarily contributed to the visualization tools within the healpy library, specifically focusing on enhancements to the `projview` function. Their work involved adding features like custom colorbar formatting, including tick control and label adjustments, and the integration of different colormap options. The user also implemented subplots and added controls to remove dipole and monopole, improving the visualization capabilities and flexibility of the tool. They further contributed by introducing new color map options and providing various improvements to graticules to enhance the user experience.
pythonmaphealpixgis
trygvels/AST5220
Feb 2017 - May 2017
Contributions:188 pushes, 1 branch in 3 months
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