Gabriel Dax - Machine Learning Engineer at Fraunhofer IIS

Gabriel Dax

Machine Learning Engineer at Fraunhofer IIS

Munich, Bavaria, Germany

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Summary

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Senior

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Top School

Gabriel Dax is a Machine Learning Engineer based in Munich with nine years of experience bridging research and applied engineering across academic and industry labs. He holds an ongoing Dr. rer. nat. in Machine Learning from TUM and has held research and systems roles at TUM, DLR, Fraunhofer IIS, and Bundeswehr University, giving him a strong mix of theoretical depth and production-oriented practice. Gabriel’s background spans from low-level systems and toolmaking to leading ML research projects, which helps him translate complex models into robust, deployable systems. He is comfortable operating at the intersection of research, system administration, and software engineering, often moving between prototype research and industrial integration. Known for a creative, hands-on approach, he brings both engineering rigor and an experimental mindset to ML problems.

9 years of coding experience

6 years of employment as a software developer

Studienbefähigungslehrgang, Studienbefähigungslehrgang at FH Joanneum

Doctor of Natural Sciences (Dr. rer. nat.) Machine Learning, Doctor of Natural Sciences (Dr. rer. nat.) Machine Learning at Technical University of Munich

Apprenticeship as a toolmaker, Apprenticeship as a toolmaker at ARVAI-Plastics

Diplom-Ingenieur (Dipl.-Ing. M.Sc.) Information Technologies and System Management (Master), Diplom-Ingenieur (Dipl.-Ing. M.Sc.) Information Technologies and System Management (Master) at Fachhochschule Salzburg

German, English

Programming languages (1)

Java

Github contributions (5)

g4br1el/g4br1el.github.io

Jul 2022 - Nov 2022

Contributions:54 commits, 61 pushes, 1 branch in 3 months

g4br1el/Caeser-Chifre

Oct 2016 - Dec 2018

caesar chiffre

Contributions:1 PR, 3 pushes, 1 branch in 2 years 3 months

chiffrecaesar

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