Matthew Brulhardt

New York, United States

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Summary

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Rockstar

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Top School

Matthew 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 School

Bachelor 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 (3)

JavaJupyter NotebookPython

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

Contributions: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.

deployingraybacktesting-trading-strategiesreinforcement-learningagents

mwbrulhardt/canapi

Sep 2020 - Oct 2020

Contributions:29 commits, 26 pushes, 1 branch in 13 days

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