Alexander Lundervold
Professor at AkademiX
Bergen, Vestland, Norway
Summary
👤
Senior🎓
Top SchoolAlexander Lundervold is a professor and AI engineering practitioner with 13 years of experience bridging data science, software engineering, and machine learning engineering to move models into real-world solutions. He combines a strong academic foundation—a PhD in numerical analysis and advanced studies in topology and computer science—with hands-on roles in healthcare research, consultancy, and senior data science at BergenMMIV and Haukeland universitetssjukehus. As a partner at AkademiX and a long-time academic leader, he focuses on integrating ML systems with established processes to deliver measurable domain impact rather than isolated models. Colleagues value his pragmatic research orientation: he asks not just whether a model works, but how it interacts with people, systems, and organizational constraints. Based in Bergen, Norway, he pairs formal mathematical rigor with practical AI engineering, often translating theoretical insights into deployable solutions.
13 years of coding experience
12 years of employment as a software developer
MSc., Topology, MSc., Topology at University of Bergen (UiB)PhD, Numerical analysis, PhD, Numerical analysis at University of BergenComputer Science, Computer Science at Coursera, edX, Udacity
Github Skills (16)
agentic10
imaging9
chatgpt9
uib9
ai9
autogen9
e-mail9
deep-learning6
agentic-ai6
machine-learning4
reveal-js3
html2
python2
artificial-intelligence1
machine-learning-algorithms1
Programming languages (7)
Github contributions (5)
MMIV-ML/presimal2022
Sep 2022 - Sep 2022
Contributions:31 commits, 21 pushes, 2 branches in 12 days
HVL-ML/DAT255
Dec 2022 - Mar 2023
Material for the course DAT255: Deep Learning Engineering @ HVL
Contributions:36 commits, 67 pushes, 2 branches in 2 months
deep-learning
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