Jonathan Feinberg is an IT consultant and technical leader with 11 years of hands-on experience building data-driven systems, machine learning platforms, and cloud-deployed automation for energy, finance, and biotech. He holds a PhD in Computational and Applied Mathematics from the University of Oslo and blends rigorous probabilistic thinking with practical software engineering in Python and Bash. Jonathan has led ML platform teams and anti-money-laundering model development, and he’s founded a startup to tackle applied analytics problems. He contributes to open-source optimization tooling—refactoring core Vehicle Routing Problem code and improving Python bindings—which reflects a taste for clean abstractions and production-ready code. Based in Oslo, he moves comfortably between research-grade uncertainty quantification and shipping resilient engineering solutions at scale. Colleagues describe him as someone who turns mathematical depth into pragmatic, maintainable systems.
Contributions:4 reviews, 17 commits, 8 PRs in 1 month
Contributions summary:Jonathan primarily worked on refactoring and improving the codebase related to the Vehicle Routing Problem (VRP) solver. Their contributions focused on code organization by removing duplicate definitions, resolving naming conflicts, and replacing exceptions with more specific ones. They also made improvements to the Python bindings for accessing Amount and Matrix data structures and addressed a typo.
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Jonathan Feinberg - IT Consultant at TET Digital AS