Matthew Brulhardt
New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Brulhardt is a machine learning engineer with 8 years of experience applying ML, statistics, and NLP to extract business insights and improve customer relationships. He has hands-on experience building production-ready ML infrastructure—using Ray and AWS Batch for scalable RL training, AWS Lambda for ETL pipelines, and GANs for synthetic financial time series—focused largely on trading and recommendation problems. Matthew contributed to the popular TensorTrade open-source RL framework, improving component access, order management, and test coverage to make trading agents more robust. With an MS in Statistics and a BS in Applied Mathematics from Stony Brook, he pairs strong quantitative foundations with practical engineering chops. Based in New York, he brings a track record of turning research ideas into deployable systems that accelerate experimentation and decision-making.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Stony Brook University Graduate SchoolBachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at Stony Brook University
Github Skills (4)
unit-testing10
python10
reinforcement-learning9
pandas9
Programming languages (5)
Github contributions (5)
tensortrade-org/tensortrade
Sep 2019 - Jan 2021
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Role in this project:
Backend Developer
Backend DeveloperContributions:8 reviews, 218 commits, 35 PRs in 1 year 5 months
Contributions summary:Matthew implemented string-based access for components within the reinforcement learning framework, which enables the use of component names as identifiers. They refactored the data module and added support for decimal quantities. In addition to this, the user introduced functionalities for order management and added unit tests for the changes to the order system and portfolio, thus increasing the robustness of the framework.
reinforcement-learningtrading
mwbrulhardt/canapi
Sep 2020 - Oct 2020
Contributions:29 commits, 26 pushes, 1 branch in 13 days
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