Master Thesis Student - Perception & Machine Learning at surreal entertainment
Stockholm, Sweden
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Summary
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Senior
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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.
9 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
A simple tanks clone with online multiplayer support
Contributions:114 commits, 1 PR, 13 pushes in 3 months
gameonline-multiplayerrpgdedicated-servermud
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Samuel Söderberg - Master Thesis Student - Perception & Machine Learning at surreal entertainment