Hi, I'm
Software Engineering & Machine Learning
M.Sc. Computer Science student at KTH, building robust systems and intelligent applications.
I'm a Computer Science student at KTH Royal Institute of Technology in Stockholm, pursuing a Master's degree with a focus on Software Engineering and Machine Learning.
My passion lies in building scalable, maintainable systems and exploring how machine learning can solve real-world problems. I enjoy the entire spectrum, from designing clean APIs to training neural networks and deploying ML models in production.
Outside of tech, I have a deep love for horses and the equestrian world. I've been part of the Swedish national team in endurance riding since 2017. I find balance in nature, whether it's a trail ride or a walk in the forest, and I treasure time spent with friends and family.
Interactive algorithm visualizer with step-by-step playback. Features sorting (Merge Sort, Quick Sort), pathfinding (Dijkstra, A*), dynamic programming (LCS), and tree algorithms (AVL). Synced pseudo-code highlighting and live statistics.
Hands-on machine learning assignments focusing on supervised learning, model evaluation, and data preprocessing as part of Computer Science studies at KTH.
University lab work focusing on clean code, object-oriented design, testing, and version control in team-based settings.
Minimalist, state-of-the-art portfolio website built to showcase skills and academic background.
KTH Royal Institute of Technology · Stockholm
Software Engineering & Machine Learning track
KTH Royal Institute of Technology · Stockholm
Focus on programming, algorithms, and human-computer interaction
Swedish Equestrian Federation · Sweden
Preparation and planning for the Swedish Young Rider team, from national level to World Championships
I'm always interested in hearing about new opportunities, interesting projects, or just having a chat about technology.