Robert Futch is a mission-driven CTO and co-founder who has spent the past nine years turning mechanical engineering and systems expertise into life-saving medical hardware, raising over $5M and building an FDA-registered factory that deployed mobile blood infusion kits used in multiple countries. He combines hands-on design and manufacturing experience—from CAD, FEA, and refrigeration controls to embedded software and test automation—with regulatory strategy and grant fundraising. Early work on refrigeration and robotics informs his practical approach to rugged, field-deployable medical systems, while recent contributions to the Unity ML-Agents build tooling show he can dive into developer tooling and cross-platform build issues. Based in Tucson, he pairs entrepreneurial grit with systems thinking to take products from concept through production and global deployment.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Role in this project:
Automation Engineer / Build & Release Engineer
Contributions:13 commits, 2 PRs, 8 comments in 18 days
Contributions summary:Robert primarily focused on modifying build scripts within the `ml-agents` repository. Their contributions include fixing issues in the `make_for_win.bat` script related to compiler paths, variable definitions, and Python calls. Furthermore, the user updated the `make_for_win.bat` script to reflect the current state of the project by reverting it to the version in the develop branch and to align with the `make.bat` script. The changes suggest a focus on ensuring the project builds correctly on Windows platforms and integrating protobuf definitions.
Contributions:2 releases, 10 reviews, 19 PRs in 2 months
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