Axel Demborg
Machine Learning Engineer at Volumental
Solna kommun, Sweden
Summary
👤
Senior🎓
Top SchoolAxel Demborg is a Machine Learning Engineer with a decade of technical experience, currently applying ML research and product development at Volumental after completing his master's in Machine Learning and an Engineering Physics degree at KTH. He brings a strong foundation in math, physics and programming, honed through a master’s thesis and practical work that spans production ML systems and experimental photonics research. Driven by curiosity, Axel pairs rigorous analytical thinking with creative hobbies—photography, poetry, cooking and podcasting—that inform a balanced, design-aware approach to problem solving. He thrives in tight, skilled teams where knowledge-sharing accelerates impact and product quality. Notably, his background in fiber Bragg grating experiments signals comfort bridging lab-grade experimentation and deployed ML solutions.
10 years of coding experience
Engineering Physics, Engineering Physics at KTH Royal Institute of Technology
English, Swedish
Stackoverflow
31reputation
15kreached
1answer
0questions
Github Skills (42)
python8
deep-learning8
generative8
gpu8
machine-learning8
neural-network6
heatmap6
correlation6
tensorflow6
flask-application6
seaborn6
mongodb5
dynamodb5
sentiment5
numpy5
Programming languages (7)
Github contributions (5)
Demborg/demborg.github.io
Oct 2019 - Jan 2025
Contributions:31 PRs, 154 pushes, 23 branches in 5 years 4 months
javascriptnextjsreactmyself
Demborg/cppn
Sep 2019 - Nov 2022
Generative art in the browser:
Contributions:41 commits, 4 PRs, 39 pushes in 3 years 2 months
artbrowsergenerative-artjavascriptgenerative
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