Dan Lillrank
System Engineer AI Design at Saab
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolDan Lillrank is a Robotics Software Engineer and RL researcher with nine years of experience applying navigation, perception, and learning methods to real-world robotic systems across Sweden and Japan. Currently a System Engineer in AI Design at Saab, he has led research teams and shipped perception-motion integrations and automation workflows for companies like Telexistence and QBIT Robotics. His expertise spans SLAM, odometry, path planning, computer vision, and deep reinforcement/imitation learning, with hands-on work building data pipelines, multi-object tracking, and cloud-enabled analytics. He combines academic rigor from KTH and Kyoto University with practical system integration—often acting as the bridge between research prototypes and production-ready robot software. An intriguing throughline in his career is multidisciplinary work linking neuroscience and brain-robot interfaces, reflecting a longer-term interest in embodied learning beyond standard robotics stacks.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.) Systems Control and Robotics, Master of Science (M.Sc.) Systems Control and Robotics at KTH Royal Institute of TechnologyExchange Studies: Master of Science Graduate school of Informatics, Exchange Studies: Master of Science Graduate school of Informatics at Kyoto University
Swedish, Japanese, English
Github Skills (71)
deep-learning10
deep-reinforcement-learning10
imitation-learning10
hydra9
robotics9
pdf-viewer9
webots9
gazebosim9
viewer9
pytorch-lightning9
pdf9
robot-simulator9
robot9
poppler9
gazebo-simulator9
Programming languages (6)
Github contributions (5)
Harimus/Harimus.github.io
May 2020 - Jan 2025
Contributions:2 PRs, 48 pushes, 4 branches in 4 years 8 months
Harimus/SC2-bot-learning
Nov 2019 - Jan 2021
Contributions:12 pushes in 1 year 2 months
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