Filip Söderqvist

Machine Learning Engineer at Modulai

Filip Söderqvist's work experience starts with their current position as a Machine Learning Engineer at Modulai, which they began in September 2021. Prior to this role, they worked at Modulai for their Master's thesis from January 2021 to June 2021. Before joining Modulai, Filip was a Salesperson at Thernlunds Man & Woman from April 2016 to April 2020. Filip also had an internship as a Practicum at Lidingö Stad from August 2015 to April 2016. Additionally, they worked as a Operations Manager at Ekholmsnäsbacken AB from January 2015 to April 2015, where their responsibilities included customer service, sales, and equipment maintenance.

Filip Söderqvist completed their education in a chronological order. Filip first attended Hersby gymnasium from 2012 to 2015, where they obtained a Studentexamen in the field of Naturvetenskap. Following this, from 2016 to 2019, they pursued a Bachelor's degree in Medical Engineering at Linköping University. Finally, they attended KTH Royal Institute of Technology from 2019 to 2021, where they earned a Master of Science degree in Medical Engineering with a specialization in Computer Science.

Location

Stockholm, Sweden

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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.


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Headquarters

Stockholm, Sweden

Employees

11-50

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