Simon Keisala is a Senior Engineer based in Stockholm with a decade of professional experience specializing in machine learning and computer vision infrastructure. He has driven core architecture and ML Ops work at Qualcomm—focusing on distributed training, training efficiency, and reusable tooling—after working on feature engineering through corporate transitions at Arriver and Veoneer. Earlier roles include full lifecycle development of autonomous underwater vehicle systems at SAAB Dynamics, giving him practical product and systems-thinking experience beyond pure research. Trained with a master's in computer science from Linköping University, he enjoys tackling abstract problems by breaking them into concrete actions and is particularly interested in self-learning agents and understanding framework limitations. Outside work he balances technical curiosity with outdoor pursuits like hiking and climbing, and even designs and plays video games, reflecting a hands-on approach to both engineering and creativity.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Linköping University
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