Dominique Garmier
Machine Learning Researcher at Tufa Labs
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolDominique Garmier is a machine learning researcher and master's student in mathematics at ETH Zürich, combining rigorous theoretical training with practical ML research at Tufa Labs. With six years of experience across research labs and university roles, they have built data systems for researchers and taught topology exercise classes, reflecting both engineering and pedagogical strengths. Dominique contributes to open-source ML projects—most notably improving test infrastructure for the popular FinRL financial reinforcement learning repo—highlighting a focus on reliability and reproducible research. Based in Zurich, they bridge abstract mathematics and applied ML, often surfacing insights from unstructured data and modernizing tooling behind the scenes.
6 years of coding experience
Swiss Matura, Physics, Applied Mathematics and Computer Science, Swiss Matura, Physics, Applied Mathematics and Computer Science at Kantonsschule WohlenMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at ETH Zürich
German, French, English
Stackoverflow
140reputation
33kreached
4answers
3questions
Github Skills (15)
pytest10
python10
testing10
dockers9
docker9
algorithmic-trading8
deep-reinforcement-learning6
mypy6
pandas6
encode6
nuxt6
typescript6
decode6
base646
finance5
Programming languages (5)
Github contributions (5)
AI4Finance-Foundation/FinRL
Jun 2022 - Jul 2022
FinRL: Financial Reinforcement Learning. 🔥
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:24 commits, 10 PRs, 13 comments in 6 days
Contributions summary:Dominique primarily focused on enhancing the testing framework within the project. They migrated existing tests from unittest to pytest, demonstrating a focus on test suite modernization. This involved refactoring test files and updating the testing infrastructure, as shown by changes to test files and the Docker configuration for running tests. The user also added and modified test cases for different components of the environment.
stable-baselinesdrl-frameworkdeep-reinforcement-learningsecfinance
mercator-labs/merchant
Jun 2022 - Dec 2022
reinforcement learning enviroments for stock, etf and cryptocurrency trading
Contributions:68 commits, 48 PRs, 74 pushes in 6 months
pythonethereumstockgradiofinance
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