Aron Bahram
Computer Scientist
Summary
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RockstarAron Bahram is a computer scientist with nine years of hands-on experience building and refining machine learning tooling and libraries. He holds an MSc from the University of Freiburg and UBC in Computer Science and brings a research-informed approach to practical engineering problems. As an active contributor to the widely used auto-sklearn project, he has improved usability and robustness by implementing progress feedback, fixing core bugs, and tightening testing and build workflows. Aron combines attention to developer experience with solid engineering discipline, often focusing on the small but impactful details—like model ID handling and prediction capping—that make ML systems reliable in production. Colleagues describe him as methodical and pragmatic, comfortable spanning research code and production-quality improvements.
9 years of coding experience
Github Skills (8)
scikit10
hyperparameter-optimization10
machine-learning10
automated-machine-learning10
automl10
python10
scikit-learn10
pytest7
Programming languages (4)
Github contributions (5)
automl/auto-sklearn
Nov 2022 - Dec 2022
Automated Machine Learning with scikit-learn
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 1 review, 7 commits in 25 days
Contributions summary:Aron primarily contributed to improving the functionality and usability of the `auto-sklearn` library. Their work included implementing and refining progress bar features to provide feedback during model training. Additionally, they addressed bugs and refined code to improve the clarity and efficiency of the library's core functionalities, such as the handling of model IDs and the capping of prediction values for the regression model. They also made updates to the testing and build configurations.
pythonmeta-learningmetalearningbayesian-optimizationhyperparameter-tuning
barcsin/hello-world
Nov 2016 - Jul 2022
Contributions:2 PRs, 3 pushes, 3 branches in 5 years 8 months
testing
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