Justin Patriquin is a software engineer with nine years of experience specializing in privacy-preserving machine learning and applied AI, currently based in Halifax, Nova Scotia. He brings strong systems and cross-platform skills in Go, Python, C++, SQL and iOS development, and practical experience with TensorFlow, PyTorch and LLMs. As a senior engineer at Cape and a core contributor to privacy-focused open-source projects like tf-encrypted and PySyft, he has implemented blockchain integrations, wallet tooling, and usability improvements that bridge cryptography, ML, and developer UX. His work emphasizes production-ready, privacy-first pipelines that enable data science without compromising ownership or security. Comfortable across full-stack and low-level code, he pairs practical engineering with research-adjacent experimentation in privacy tech.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Computer Science, Bachelor of Computer Science at Dalhousie University
Perform data science on data that remains in someone else's server
Role in this project:
Full-stack Developer
Contributions:54 commits, 14 PRs, 7 pushes in 1 month
Contributions summary:Justin primarily worked on integrating blockchain-related functionality and improving the user interface within the `pysyft` repository. Their commits involved adding Ethereum-related features, including wallet creation and transaction signing, along with setting up a notebook and grid client/server to use account addresses and private keys. They also made changes to the installation scripts to resolve issues on different operating systems and refactored some code to improve the overall functionality.
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Justin Patriquin - Software Engineer at capeprivacy tf-encrypted