Luca Rettenberger
Machine Learning Engineer at GOTECH Fahrzeugentwicklungs- und Konstruktionsgesellschaft mbH
Stuttgart Region Germany
Summary
👤
Senior🎓
Top SchoolLuca Rettenberger is a Machine Learning Engineer and soon-to-be Ph.D. in Mechanical Engineering from KIT, with eight years of experience blending deep learning, computer vision, and large language models to solve engineering problems in biomedicine and materials science. He leads a team building LLM-powered chatbots for chemical applications, translating research-grade models into practical scientific tooling. His background bridges applied computer science and mechanical engineering—anchored by an MS in Computer Science and a BS in Applied Computer Science—enabling a data-efficient approach to complex physical problems. Luca has industrial experience in IIoT, big data, and computer vision from multiple Werkstudent roles, and recently transitioned into a full-time ML engineering role in automotive development. Colleagues describe him as research-driven but pragmatic, often debugging the “ValueError: invalid literal 'NaN'” moments that separate theory from practice. Based in the Stuttgart region, he plans to complete his Ph.D. by early 2025 and focuses on bringing advanced computational methods into production-ready engineering workflows.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 1,1, Master of Science - MS, Computer Science, 1,1 at Hochschule Ravensburg-WeingartenDoktor (Ph.D.), Mechanical Engineering, Doktor (Ph.D.), Mechanical Engineering at Karlsruher Institut für Technologie (KIT)
Github Skills (2)
heterogeneous7
nlp6
Programming languages (2)
Github contributions (5)
Heterogeneous-Semantic-Segmentation/Utilities-for-The-Frugal-Labeler
Aug 2020 - Apr 2022
Methods for the frugal labeler: Multi-class semanticsegmentation on heterogeneous labels
Contributions:32 commits, 2 PRs, 11 pushes in 1 year 7 months
nlpmulti-labelerfrugalheterogeneouslabeler
BoySetsFire/b4y
Sep 2017 - Mar 2018
Contributions:38 PRs, 119 pushes, 49 branches in 6 months
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