Summary
Jerrad Genson is a versatile data scientist and software engineer with 15 years of experience building production-ready systems and machine learning models, currently applying statistical and ML methods to fleet test data at Volvo Cars to preempt quality issues. His background spans embedded systems, scientific modeling, and web services—from leading development of an embedded print-server at DataRay to building NOAA-based weather simulators and DOE vapor dispersion models. Comfortable across many languages and ecosystems (Python, R, C, Java, OCaml, SQL) and ML tools (scikit-learn, xgboost, tidyverse), he combines algorithmic depth in search heuristics and compiler construction with practical software engineering. He’s delivered CI and data-driven requirements tooling for electric propulsion and has repeatedly translated academic research into operational software, including a published ML model for blood perfusion. Based in Gothenburg, he contributes to open source and favors projects that bridge scientific rigor with real-world impact.
15 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at East Central University
Bachelors of Science, Computer Science, Bachelors of Science, Computer Science at University of Central Oklahoma