I'm a Software- and Data-Engineer based in Norrköping, Sweden. My background is in theoretical statistics and machine learning, at both the Bachelor's and Master's levels. I enjoy solving problems, collaborating with kind and smart people, and building things that will eventually need to be fixed.
I have experience working with Javascript, Typescript, React, C# .NET, Python, various SQL variations, various modern and classical machine learning methods, as well as theoretical statistical methods, and R programming. And also a lot of other tools and packages and whatnot :)
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An automated job application manager, using a job API, SQLite to store job applications, and a python CLI UI. This application actually helped me find my current employment!
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A Work Clock for keeping track of how much time you've worked and when. This started as a personal tool for my own need to track this data. Over time I've added some nice features such as saving data to a sqlite database and tracking individual work sessions. I'm very happy with the current version :)
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My Master's Thesis, deep learning-based 3D MRI classification of brain tumour diagnosis, specifically with ViT and CNN.
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My Bachelor's Thesis on various initialization techniques for the k-means algorithm.
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A couple of small projects I'm quite proud of. A very handy clock to keep track of daily working hours, some useful machine learning helpers, and a program that automates task creation for Todoist, the task management application.
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Various Machine Learning, and Statistical projects as part of my Master's and Bachelor's programs.