Summary
Gustav Wiberg is a Senior Information Technology Architect with 10+ years of experience building data-driven platforms and leading cross-functional engineering and data science teams across consulting and commercial settings. He co-founded Pace and led development of Randl, a scalable ML model for marketing mix modeling, and has repeatedly translated advanced analytics into client-facing products across finance, travel, FMCG and gaming. At PwC he shaped global data architecture, designed a mesh data lake-house for generative AI adoption, and instituted responsible AI and data governance practices. Comfortable both as a hands-on coder (Python, CUDA, C, numpy/scipy) and as an enterprise architect, he bridges R&D, ML engineering and production-grade cloud infrastructure (Azure, Kubernetes, Docker). Known for a curiosity-driven, aesthetic approach to code, he pursues algorithmic trading projects in his spare time and balances technical intensity with outdoor pursuits like cycling and rock climbing with his kids.
10 years of coding experience
12 years of employment as a software developer
Mathematics, Mathematics at KTH Royal Institute of Technology
Language studies - French, Language studies - French at Collège International de Cannes
Business and Economics, Retail and Supply chain management, Business and Economics, Retail and Supply chain management at Umeå University