Modulai
Harald Attling has a diverse work experience. Harald started their career at SEB in 2018, where they worked in Global Fund Operations for a year. In 2021, Harald worked as a Data Science Intern at HowCom AB for five months. Harald then moved on to Modulai, where they started as a Master Thesis student in January 2022. Currently, Harald is employed at Modulai as a Machine Learning Engineer.
Harald Attling began their education in 2016 at the KTH Royal Institute of Technology, where they pursued a Bachelor of Science degree in Mechanical Engineering. Harald completed this program in 2019.
In 2019, Harald Attling engaged in independent coursework in Economics at Stockholm University. The specific field of study during this coursework is not provided.
From 2020 to 2022, Harald Attling pursued further education at the KTH Royal Institute of Technology. Harald obtained a Master of Science degree in Applied and Computational Mathematics during this period.
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.