Summary
Gustav Wadström is an ML and data science engineer with a decade of hands-on experience building practical AI solutions and developer tools. Currently focused on a research-heavy side project developing a 6-card Pot Limit Omaha solver, he tackles abstraction, algorithmic design, optimization, and memory management challenges uncommon in typical ML roles. His background spans time-series forecasting for electrical power systems (Master’s thesis and internship at Eneryield), full-stack web development using PHP/WordPress, and operational roles that reinforce discipline and situational awareness. Trained at Chalmers in Data Science & AI and Computer Software Engineering, he blends rigorous academic grounding with pragmatic engineering. Curious by nature, he gravitates toward problems he doesn’t yet know how to solve, turning learning into production-ready tools that support others’ workflows.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Data science and AI, Master's degree, Data science and AI at Chalmers tekniska högskola
Gymnasieexamen, Natural Sciences, Gymnasieexamen, Natural Sciences at Alströmergymnasiet i Alingsås
Swedish, English, German