Søren Welling
R-polars Author at Self-employed
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolSøren Welling is a pragmatic data scientist and software engineer with a decade of experience building production-ready ML and data systems across biotech, logistics, insurance, and utilities. He translated the high-performance Rust Polars dataframe library into R as the r-polars author and contributes to core Polars functionality, improving statistical and string operations in a widely used open-source project. As founder of Pharmatronics and co-founder of DATAMAGA, he has led real-world deployments from real-time parking and trailer ETA systems to predictive maintenance and personalized advertising for millions of users. His background includes a PhD/postdoc blend of machine learning in drug development and biotech sensor data, and he created tools like the forestFloor package to interpret black-box models. Søren combines hands-on backend development with systems architecture and teaching—he runs workshops on building health devices and embedded ML—bringing both implementation depth and a flair for communicating complex ideas. Based in Copenhagen, he blends enterprise-grade engineering with academic rigor and a curious eye for unexpected data (he also claims to host videos of slow-moving dust particles).
11 years of coding experience
2 years of employment as a software developer
Copenhagen Univ
Stackoverflow
1,853reputation
237kreached
58answers
12questions
r
top-5%
Github Skills (21)
python10
dataframes10
polar10
dataframe10
polars10
rust10
testing9
r9
data-structures8
data-structure8
algorithms8
algorithm8
rcpp6
random-forest6
cran6
Programming languages (8)
Github contributions (5)
pola-rs/polars
Oct 2022 - Jan 2023
Extremely fast Query Engine for DataFrames, written in Rust
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 5 commits, 12 PRs in 3 months
Contributions summary:Søren contributed to the Polars dataframes library by fixing bugs related to operator mapping, skew and kurtosis calculations, and the `str.contains` and `str.parse_int` functions. They also implemented features like wildcard support for `pl.min` and `pl.max`, and addressed issues in the join builder. Their work primarily focused on enhancing the functionality and correctness of core data manipulation features within the Rust and Python APIs.
dataframedataframesquery-enginerustdataframe-library
rpolars/rpolars.github.io
Nov 2022 - Apr 2024
Contributions:508 pushes in 1 year 5 months
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