Jonas Tiger-wedin is a data consultant and machine learning specialist based in Stockholm with 11 years of engineering experience and an MSc in Machine Learning from KTH. He has moved from software development roles and repeated internships at Ericsson into product-focused data science, most recently building AI features for a SaaS serving e-commerce at Speqta/Bidbrain and now at Signific. Jonas combines hands-on Python and production deployment experience with academic depth in generative models and ML, making him comfortable from prototypes to shipping models in production. His background includes full-stack automation and tooling work dating back to industrial automation roles, which gives him a practical, systems-first approach to data problems. Colleagues describe him as someone who bridges research and product needs—able to translate advanced models into measurable business impact.
11 years of coding experience
5 years of employment as a software developer
Master's degree Machine Learning, Master's degree Machine Learning at KTH Royal Institute of Technology
Datavetenskap, Datavetenskap at Korea Advanced Institute of Science and Technology
Contributions:50 commits, 18 pushes, 2 branches in 2 months
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