Emil Larsson
Head Of Engineering at Grasp
Stockholm, Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolEmil Larsson is a Head of Engineering based in Stockholm with 11 years building and scaling ML and AI systems across finance, media and healthcare. He now leads engineering at Grasp, focusing on bringing practical AI into finance to close the wide gap between research capabilities and industry adoption. Previously he spent six years at Modulai rising from Senior ML Engineer to Head of Engineering and Board Member, delivering production ML for clients like EQT, AMD and SvD and growing the team and client pipeline. Early work at Klarna produced deployed credit-risk and personalization models — including a patented method for identifying returning users — showing a blend of product impact and technical depth. Trained as an engineering physicist, Emil pairs rigorous quantitative grounding with hands-on system delivery and a curiosity-driven ethos captured by his Feynman-inspired GitHub motto.
11 years of coding experience
12 years of employment as a software developer
Exchange programme, Engineering Physics, Exchange programme, Engineering Physics at The University of British ColumbiaFrench Studies, French Studies at Ecole de Langue Francaise et d’Informatique, Geneva, SwitzerlandMaster of Science (M.Sc.), Engineering Physics, Master of Science (M.Sc.), Engineering Physics at Uppsala University
Swedish, English, French
Github Skills (71)
python10
style-transfer10
deep-learning10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
autoencoder9
autocomplete9
elasticsearch-plugin8
xgboost7
algolia7
portable7
Programming languages (6)
Github contributions (5)
emla2805/fast-style-transfer
Jun 2019 - Mar 2022
Fast Style Transfer using Tensorflow 2
Contributions:42 commits, 5 PRs, 21 pushes in 2 years 8 months
autoencoderstyle-transferfast-neural-stylefast-style-transfertensorflow
emla2805/arbitrary-style-transfer
Apr 2020 - Jul 2020
Tensorflow 2 implementation of Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Contributions:20 commits, 2 PRs, 6 pushes in 3 months
autoencoderstyle-transfergenerative-artdeep-learningadaptive
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