Tilman Hoffbauer
Doctoral Student at Technical University of Munich
Garching bei München, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolTilman Hoffbauer is a doctoral student and software engineer with 11 years of experience at the intersection of machine learning, bioinformatics, and performance optimization. He holds top-distinction degrees in Computer Science and Data Science from RWTH Aachen and recently worked as a research assistant before starting his PhD at Technical University of Munich. Practically focused and systems-minded, Tilman contributes to high-impact open-source projects such as Optuna, where he improved Redis backend reliability by implementing heartbeat support and server-side timing for more accurate trial monitoring. He combines low-level sysadmin and performance tuning skills with applied ML research, making him comfortable shipping robust infrastructure and reproducible experiments. Colleagues describe him as both meticulous and pragmatic—equally at home debugging distributed storage code or designing reproducible bioinformatics workflows.
11 years of coding experience
Master of Science - MS, Data Science, 1.0 (with distinction), Master of Science - MS, Data Science, 1.0 (with distinction) at RWTH Aachen University
German, English
Github Skills (8)
hyperparameter-optimization10
machine-learning10
back-end-development10
redis10
python10
pytest9
testing9
distributed-systems9
Programming languages (20)
Github contributions (5)
optuna/optuna
May 2021 - Jul 2021
A hyperparameter optimization framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 8 commits, 3 PRs in 2 months
Contributions summary:Tilman contributed to the Optuna hyperparameter optimization framework by adding and improving Redis backend functionality. Their work included implementing heartbeat support for the Redis storage, which involved modifying existing code and adding new features for monitoring trial health. Additionally, they refactored the Redis storage to use server-side time for more accurate heartbeat tracking and simplified test cases related to storage functionality. These changes improved the reliability and monitoring capabilities of the framework.
pythonoptimization-frameworkparallelhyperparameteroptimization
nerdclub-tfg/telegram-bot
Feb 2015 - Oct 2016
Contributions:18 commits, 7 PRs, 14 pushes in 1 year 7 months
telegramtelegram-botbot
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