Simon Larsson is a data scientist with nine years of experience applying machine learning to real-world problems across retail, healthcare diagnostics, finance and industrial automation. He has shipped production ML products—most notably a store replenishment algorithm adopted at H&M—and now builds algorithmic tools for objective ADHD assessment at Qbtech. Comfortable spanning research, engineering and governance, he has driven R&D projects, ML pipelines and best-practice councils for cloud deployments. Outside client work he reimplements research papers, competes on Kaggle and helps the community on Stack Exchange, reflecting a blend of curiosity and practical delivery. Trained in automatic control and with exchange studies in China, he brings a control-theory mindset to data-driven solutions.
9 years of coding experience
9 years of employment as a software developer
Master of Science in Electrical Engineering (MSEE), Automatic Control, Master of Science in Electrical Engineering (MSEE), Automatic Control at The Faculty of Engineering at Lund University
Exchange studies, Control Theory and Chinese, Exchange studies, Control Theory and Chinese at 浙江大学
Contributions:5 commits, 10 pushes, 1 branch in 1 year 2 months
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