Matias Dahl
Lead Machine Learning Engineer at KONE
Espoo, Finland
Summary
👤
Senior🎓
Top SchoolMatias Dahl is a Lead Machine Learning Engineer based in Espoo with a decade of experience building data and ML systems across consulting and product environments. He combines deep mathematical training (Doctor of Science) with hands-on engineering, shipping solutions from Azure and Databricks pipelines to production ML tooling like MLflow and Ray. At DAIN Studios he blended data science, data engineering and software practices to operationalize optimization algorithms, improve data quality controls, and build cloud foundations for clients in retail, transport, insurance and pharma. More recently he led engineering work on enterprise data platforms at OP Financial Group and now drives ML initiatives at KONE. Colleagues describe him as a technical chapter lead who pairs rigorous research instincts with practical DevOps and MLOps fluency. His background in differential geometry and symbolic computation gives him an unusual ability to bridge advanced theory and pragmatic systems design.
10 years of coding experience
12 years of employment as a software developer
Doctor of Science (Technology), Department of Engineering Physics and Mathematics, Doctor of Science (Technology), Department of Engineering Physics and Mathematics at Teknillinen korkeakoulu-Tekniska högskolan
English, Finnish, Swedish
Github Skills (86)
parallel10
python10
ray10
optimization10
papermill10
reinforcement-learning10
java10
jupytext10
pytorch10
large-language-models10
llm-inference9
pipeline9
science9
deep-learning9
hyperparameter-optimization9
Programming languages (6)
Github contributions (5)
matiasdahl/osm-timeslider
Oct 2015 - Oct 2015
Contributions:19 commits, 17 pushes, 2 branches in 18 days
composable-logs/mlflow
Feb 2022 - Mar 2023
Modified version of MLFlow that can be deployed as a static website (and does not depend on backend API or SQL database)
Contributions:121 PRs, 182 pushes, 112 branches in 1 year
apipythonsql-databasesqlmachine-learning
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