Lasse Reedtz
Senior Data Scientist, Machine Learning Team Lead
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolLasse Reedtz is a Senior Data Scientist and Machine Learning Team Lead based in Copenhagen with 11 years of experience moving research-grade models into high-throughput production. He specializes in language modeling, transformers and document understanding, leading systems at Visma that analyze over 110 million documents annually and pretrain/finetune large generative models. Comfortable across Python and Kotlin, he combines deep ML research with hands-on engineering from his background in R&D roles at Samsung Display, Tradeshift and enterprise consulting. Lasse is drawn to cutting-edge techniques but stays product-focused, ensuring models deliver strategic value in real-world workflows. An understated strength is his history of shipping end-to-end solutions—from mobile and backend components early in his career to scalable ML pipelines today—making him as effective at integration and delivery as at model design.
11 years of coding experience
8 years of employment as a software developer
High School Mathematics Physics, High School Mathematics Physics at Gladsaxe GymnasiumTechnical University of Denmark
English, Danish
Github Skills (60)
xgboost10
pytorch10
artificial-intelligence10
kubeflow10
standardized10
sklearn10
client-go10
k8s10
deploying9
kubernetes9
llm-inference9
listener9
kotlin9
machine-learning9
hpa9
Programming languages (6)
Github contributions (5)
lre/S3Mock
Jun 2018 - Oct 2019
A simple mock implementation of the AWS S3 API startable as Docker image, JUnit 4 rule, or JUnit Jupiter extension
Contributions:4 PRs, 8 pushes, 6 branches in 1 year 4 months
apidocker-imagejunit-jupiterruletesting
lre/lre.github.io
Sep 2015 - Aug 2017
Contributions:14 pushes, 1 branch in 1 year 10 months
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