Axel 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
Contributions:41 commits, 4 PRs, 39 pushes in 3 years 2 months
artbrowsergenerative-artjavascriptgenerative
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Axel Demborg - Machine Learning Engineer at Volumental