Summary
Samuel Söderberg is a software engineer and machine learning researcher with nine years of experience bridging creative content production and technical systems. Currently completing a master’s thesis at Einride on viewpoint robustness for camera and LiDAR perception, he applies novel view-synthesis techniques to make autonomous-vehicle detectors more resilient to rig changes. He has a proven product instinct from founding and scaling viral YouTube networks to millions of views and subscribers, and from building internal tools that cut video production time by 95%. Samuel combines front-end visualization skills (React, Mapbox, Deck.gl) with practical ML work, and is comfortable moving between prototype experiments and production dashboards. Based in Stockholm, he brings a rare mix of fast-moving creative iteration and rigorous engineering, often focusing on polish and detail that improves user and model-facing experiences.
10 years of coding experience
6 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at KTH Royal Institute of Technology
Master’s Exchange Program Artificial Intelligence & Machine Learning, Master’s Exchange Program Artificial Intelligence & Machine Learning at Nanyang Technological University Singapore
Swedish, English, German, swiss-german, Spanish