Christoffer Wigforss

Christoffer Wigforss has a solid background in software development, with experience in various roles and companies.

Christoffer started their current position as a Software Developer at CPAC Systems AB in February 2022.

Prior to that, they worked at Surikat AB from May 2020 to February 2022 as a Full Stack Developer. In this role, they developed the frontend and backend of the Lynx platform, a SaaS solution for ports and ferry terminals. Christoffer used React.js for the web client and Node.js for communication.

Christoffer joined Infotiv in September 2019 and worked as a Master's Thesis Student until May 2020. During this time, they collected cycling data for battery cells and used machine learning to predict their lifetimes.

Before that, they worked at LoopMe / Me analytics AB from April 2016 to August 2019 as an iOS and Backend Developer. Christoffer developed the LoopMe iOS app from scratch and communicated with a Node.js REST API backend hosted on AWS EC2 Ubuntu servers.

From November 2013 to May 2016, Christoffer worked at Chalmers Teknologkonsulter AB as a Senior IT Consultant. Christoffer mainly focused on iOS and watchOS applications, but also worked on a backend service using Node.js and designed statistical graphs using Chart.js in a web application built with the MEAN stack.

In addition, they briefly worked as an iOS Developer at Picwear in an unspecified timeframe.

Overall, Christoffer Wigforss has extensive experience in software development, particularly in iOS and backend development, as well as proficiency in various technologies such as React.js, Node.js, and machine learning.

Christoffer Wigforss completed their education chronologically as follows:

From 2009 to 2012, they attended Lerums Gymnasium, where they obtained a Studentexamen degree in Naturvetenskap: Matematik & data.

Later, from 2012 to 2015, they pursued their Bachelor's Degree in Software Engineering at Chalmers University of Technology.

Finally, from 2017 to 2020, they furthered their education by completing a Master's degree in Applied Data Science at the University of Gothenburg.