Jonathan Lebensold is a Montreal-based engineering leader with 14 years of experience building trustworthy AI systems and tooling. As CEO of Jetty, he blends product leadership with hands-on backend engineering—particularly in networking and distributed computing—for practical, secure AI deployments. His open-source work includes contributions to OpenMined's PySyft, where he implemented and tested websocket-based client/server prototypes that enable data science on remote-held data. Comfortable moving between architecture, implementation, and testing, he focuses on making complex AI interactions auditable and resilient. Colleagues value him for turning privacy-preserving research concepts into working tooling that teams can adopt in production.
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Contributions:12 commits, 4 PRs, 12 pushes in 7 months
Contributions summary:Jonathan primarily contributed to implementing and testing a toy client/server implementation using Python, websockets, and Syft. They developed `toy_server.py`, `toy.py`, and `toy_client.py` files, demonstrating an understanding of networking and distributed computing concepts. Their work included setting up the server, client interactions, and message passing using websockets. Additionally, the user's commits show involvement in socket test cases and the modification of Syft's websocket worker functionalities.
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