Jean-paul Calbimonte is an Associate Professor and researcher based in Lausanne with 15 years of experience at the intersection of semantic web, IoT and stream/sensor data management. He blends academic rigour—PhD in Artificial Intelligence and postdoctoral work at EPFL—with applied research leadership at HES‑SO Valais‑Wallis and roles driving knowledge management and data streams at The Sense. His work spans distributed query processing, semantic data integration and real-time analytics, and he has contributed backend code to the well-known OpenIoT open-source project, improving core data handling and authentication. Comfortable moving between research and production systems, he has a track record of turning declarative semantic techniques into practical sensor-data solutions for eHealth and IoT domains.
15 years of coding experience
14 years of employment as a software developer
Bachelor, Computer Systems Engineering, Bachelor, Computer Systems Engineering at Universidad Católica Boliviana
MSc, Computer Science, MSc, Computer Science at Ecole polytechnique fédérale de Lausanne
PhD, Artificial Intelligence, PhD, Artificial Intelligence at Universidad Politécnica de Madrid
The Open Source Project for the Internet of Things
Role in this project:
Backend Developer
Contributions:35 commits, 2 comments in 8 months
Contributions summary:Jean-paul primarily worked on the backend components of the OpenIoT project, specifically focusing on the x-gsn module, which appears to be the core of the project. Their contributions included bug fixes, such as resolving issues with the gsn-start.bat file, and adding/modifying Java code related to data handling, data requests, and storage mechanisms within the x-gsn module. The user also introduced and modified metadata handling, and authentication using OAuth.
Contributions:36 commits, 31 pushes, 1 branch in 1 year
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