Martin Kermit
AI Lead at Vend
Oslo, Norway
Summary
👤
Senior🎓
Top SchoolMartin Kermit is an AI Lead with over a decade of experience applying machine learning and data science across industry and research, currently steering AI efforts at Vend after roles at Schibsted Marketplaces and as VP Data Science at LiDAR specialist Raywiz. He combines a PhD in Informatics with hands-on product and team leadership—moving models from research prototypes to customer-facing products in domains from media analytics to sensor-driven mobility. Martin is adept at bridging research, product development and commercial needs, having led data teams at DN Media Group and ITS Perception and supported technical sales and direct client engagement. His background spans academia (postdoc and associate professorship) to technical product management, which gives him a rare mix of pedagogical clarity and practical delivery focus. Notably, he has deep domain experience in Earth observation, image analysis and LiDAR-based ML, making him comfortable with complex sensor data pipelines as well as business strategy.
10 years of coding experience
25 years of employment as a software developer
M.Sc., Applied Physics, M.Sc., Applied Physics at UiT- The Arctic University of NorwayCollege Pedagogy, College Pedagogy at Østfold University College (HiØ)Bachelor of Science - BS, Elementary Particle Physics, Bachelor of Science - BS, Elementary Particle Physics at University of BergenKongsbakken vgsPh.D., Informatics, Machine Learning, Ph.D., Informatics, Machine Learning at University of Oslo
Github Skills (55)
portable10
xgboost10
shapley10
shap10
machine-learning-models10
rcpparmadillo10
lime10
machine-learning10
gradient10
interpretable-machine-learning10
iml10
rcpp10
dataflow9
xai9
spark9
Programming languages (5)
Github contributions (5)
martinju/FCV
Jun 2016 - Nov 2024
Code for investigating the fruitfulness of a focus weighted cross validation scheme
Contributions:4 PRs, 3 pushes, 3 branches in 8 years 7 months
schemecross-validationvalidationweighted
nikolase90/shapr
Jul 2018 - Mar 2019
Explaining the output of machine learning models with more accurately estimated Shapley values
Contributions:100 commits in 7 months
shapley-valuesmachine-learningshapleyestimatedmachine-learning-models
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