Gustav Gränsbo

Senior Machine Learning Engineer at All Ears

Stockholm, Sweden
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Summary

👤
Senior
🎓
Top School
Gustav Gränsbo is a Senior Machine Learning Engineer based in Stockholm with 10 years of experience turning data-driven ideas into production systems. He has led small engineering teams and shipped recommendation engines, segmentation models, and representation-learning pipelines that measurably improved engagement and customer funnels. Gustav combines hands-on ML development with infrastructure skills—building CI/CD with GitHub Actions, Kubernetes workflows with Argo, and provisioning on Azure via Terraform. At Fortnox he integrated agentic AI assistants and simplified UIs to make complex business workflows accessible for users. Earlier work includes large-scale analytics and anomaly detection at Opera and a thesis algorithm for clustering semantically related words used in a commercial text-analysis tool. He’s a curious learner who favors pragmatic, end-to-end solutions that bridge research and reliable production delivery.
code10 years of coding experience
job7 years of employment as a software developer
bookMSc/Civilingenjörsexamen Computer Engineering, MSc/Civilingenjörsexamen Computer Engineering at Linköping University
languagesSwedish, English
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Github Skills (59)

dependency-manager10
dependency-management10
static-typing10
python10
packaging10
python-packaging10
typechecker10
linter10
package-manager10
data-science9
pytorch9
machine-learning9
tensorflow9
deep-learning9
neural-network8

Programming languages (5)

TypeScriptC++RustreStructuredTextPython

Github contributions (5)

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gustavgransbo/algorithms

Mar 2020 - Aug 2023

Rust implementations of basic algorithms
Contributions:7 PRs, 9 pushes, 11 branches in 3 years 5 months
implementationsrustbasic-algorithmsdata-structures
gustavgransbo/gustavgrad

Jul 2019 - Apr 2021

An autograd library built on NumPy
Contributions:2 releases, 59 PRs, 91 pushes in 1 year 9 months
numpypythonautograd
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Gustav Gränsbo - Senior Machine Learning Engineer at All Ears