Modulai
Svante Sörberg began their work experience in 2018 as a Teaching Assistant for the course DD1351 - Logic for Computer Scientists at KTH Royal Institute of Technology. Svante held this role until September 2021. In 2021, they joined Modulai as a Machine Learning Engineer and is currently working in that position. Svante also completed their MSc Thesis at Modulai from January to September 2021.
Svante Sörberg pursued their education at KTH Royal Institute of Technology, where they obtained a Master of Science degree in Machine Learning from 2019 to 2021. Prior to that, they pursued a Bachelor's degree in Computer Science from the same institution from 2016 to 2021. Additionally, in 2020, Svante also had a brief educational experience at Politecnico di Torino, although the specific degree and field of study are not provided.
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Modulai
Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.