Jonas Kalderstam is a pragmatic engineering leader with 14 years of experience building resilient backend systems, currently leading teams at CellPoint Digital after progressing from senior engineer to team lead. He holds a PhD in Machine Learning and has hands-on research experience building custom neural network libraries and novel loss functions for survival analysis—work that complements his production experience shipping Go microservices, Temporal workflows, and Kubernetes deployments. A long-term open-source maintainer and Android developer, Jonas has kept the Feeder app active for 10+ years with 30k+ users and contributed to high-profile projects like Neo4j and AntennaPod. He moves comfortably between low-level C/C++ systems, JVM database internals, and cloud-native DevOps, and prefers test- and behavior-driven development while mentoring juniors and improving developer tooling. Known as a self-hoster and “virtual prepper,” he brings a practical, reliability-first mindset to both product and infrastructure challenges.
14 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Lunds universitet
Contributions:7 releases, 39 reviews, 2228 commits in 8 years 6 months
Contributions summary:Jonas's commits primarily focused on implementing and modifying the settings screen within the Android RSS reader app. They added various UI elements for configuring settings, including menu and switch settings. The user's work involved using Jetpack Compose to implement these UI components and integrate them into the settings screen's layout.
Contributions:78 commits, 46 PRs, 25 pushes in 1 year 9 months
Contributions summary:Jonas primarily focused on improving the project's Docker configuration and CI/CD pipeline. They implemented changes to the Docker entrypoint scripts, enabling features like setting passwords, supporting core-edge deployments, and configuring HA addresses. Furthermore, the user optimized the testing setup with improved logging and test environment management, solidifying the user's contributions towards streamlining the development and deployment processes for the Neo4j Docker images.
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