Jakob Martinussen is a co-founder and engineer with 11 years of experience at the intersection of software engineering and data science, specializing in mathematical modeling, optimization, and scalable production systems. With an MSc in Applied Physics and Mathematics from NTNU, he has built production-ready spatial algorithms (LiDAR-to-roof-surface pipelines) and led logistics optimization work that remains in use at Oda, including an open-sourced data-modeling library (Patito) for Polars and DuckDB. He excels at translating complex constraints into practical solvers—evident from projects that algorithmically place solar panels and optimize product placement in fulfillment centers—while also improving developer experience through containerized, reproducible workflows. Comfortable with SQL, Python, simulation and production web services, he pairs rigorous quantitative thinking with hands-on engineering and onboarding/mentorship of data teams. Based in Oslo, Jakob brings an unusual blend of applied math depth and pragmatic product focus, favoring clean, understandable code to solve hard real-world problems.
11 years of coding experience
4 years of employment as a software developer
High School, Emphasis on Natural Sciences, 44 out of 45 Possible Points, High School, Emphasis on Natural Sciences, 44 out of 45 Possible Points at International Baccalaureate
A data modelling layer built on top of polars and pydantic
Contributions:19 releases, 123 commits, 60 PRs in 8 months
polarspythonpydanticon-topmodelling
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