Thomas Rueckstiess
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolThomas Rueckstiess is a Melbourne-based machine learning researcher and software engineer with 15 years of experience building production systems, databases, and developer tools. He holds a Ph.D. in Computer Science and has led ML research and engineering teams at MongoDB, focusing on neural networks, transformers, language models and database-centric applications. Previously he led the MongoDB Charts team, blending deep understanding of document databases with data visualisation and analytics for live, production data. An active open-source contributor, he created and maintains mtools, a widely used MongoDB log-parsing and visualization toolkit, and has a track record of shipping robust backend fixes and parsing improvements. His background spans academia and industry—from reinforcement learning research and teaching at TUM to embedded C++ and production features in automotive systems—giving him a rare mix of theoretical depth and hands-on product delivery. He combines research rigour with pragmatic engineering, often surfacing subtle issues in real-world data pipelines and tooling.
16 years of coding experience
21 years of employment as a software developer
- Biology & Computer Science, - Biology & Computer Science at University of Orgeon, Eugene, USADiplom (equivalent to Bachelor + Master degree) Bio-Informatics, Diplom (equivalent to Bachelor + Master degree) Bio-Informatics at University of TübingenPhD Computer Science, PhD Computer Science at Technical University of Munich
English, German, French
Github Skills (5)
log-parser10
python10
parse10
regular-expression9
data-analysis8
Programming languages (11)
Github contributions (5)
rueckstiess/mtools
Sep 2012 - Sep 2017
A collection of scripts to set up MongoDB test environments and parse and visualize MongoDB log files.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 531 commits, 29 PRs in 5 years
Contributions summary:Thomas primarily contributed to bug fixes and enhancements within the mtools project, focusing on areas such as data parsing, and query pattern extraction. The user addressed issues in the `hci.py` module related to timestamp handling and the `mplotqueries` script, fixing errors that arose when dealing with zero-duration operations. Additional contributions included improvements in the log parsing functionality, and the introduction of a new operator (and its associated tests).
logfilemongodb
rueckstiess/expsuite
Aug 2010 - Dec 2012
PyExperimentSuite is an open source software tool written in Python, that supports scientists, engineers and others to conduct automated software experiments on a larger scale with numerous different parameters.
Contributions:27 commits, 1 push in 2 years 4 months
python
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