Oliver Borchert
Data Scientist
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolOliver Borchert is a Munich-based Data Scientist with nine years of hands-on experience bridging machine learning, data engineering and production software. He combines strong academic credentials from TUM (MSc Data Engineering & Analytics) with industry roles at QuantCo, AWS and multiple startups, shipping models and systems across cloud, CI/CD and distributed environments. An active open-source contributor, Oliver has improved core tooling in widely used projects like sqlfluff (T-SQL parsing) and Polars (date/math functions and NumPy conversions), and helped package Rust projects for conda-forge—evidence of his cross-language fluency and build/automation expertise. He thrives on tackling unsolved problems with motivated teams, enjoys moving research into production, and has a rare blend of mobile/iOS, backend and ML engineering experience that enables end-to-end delivery.
9 years of coding experience
3 years of employment as a software developer
School-Accompanying Studies, Informatics, 1.3, School-Accompanying Studies, Informatics, 1.3 at Technical University MunichAbitur, 1.0, Abitur, 1.0 at Dom-Gymnasium Freising
German, English
Stackoverflow
5,732reputation
490kreached
38answers
78questions
ios
top-5%
swift
top-5%
uilabel
top-5%
Github Skills (51)
conda-forge10
cargo10
python10
evaluation10
data-science10
tsql10
data-set10
dataframes10
databases10
machine-learning10
bash10
polar10
dataframe10
datasets10
forecasting10
Programming languages (7)
Github contributions (5)
sqlfluff/sqlfluff
Jul 2022 - Dec 2022
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Role in this project:
Back-end Developer / Database Engineer
Back-end Developer / Database EngineerContributions:5 reviews, 11 commits, 22 PRs in 4 months
Contributions summary:Oliver primarily contributed to the T-SQL dialect of the SQLfluff project. Their work focused on enhancing the parser's ability to handle various T-SQL syntax elements, including CREATE VIEW statements, datepart functions, collation clauses in JOIN conditions, indentation of JOIN/APPLY clauses and SYNONYM statements. They also implemented the BULK INSERT statement, and allowed arbitrary expressions in PARTITION BY clause.
dialectslinterpypisql-lintertemplated
pola-rs/polars
Mar 2023 - Mar 2025
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Role in this project:Back-end Developer
Back-end DeveloperContributions:18 reviews, 29 PRs, 69 comments in 2 years
Contributions summary:Oliver primarily contributed to the Polars data frame library by adding new features and fixing existing code. Their work included implementing the `is_leap_year` function for date/datetime expressions, adding the `log1p` mathematical function, refactoring code to utilize `FunctionExpr` for various methods, and improving the display of data frames. The user also worked on optimizing the conversion of data frames to NumPy arrays, including C index order, and addressing related test failures.
polarsdataframespythondataframerust
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