Lukas Großberger
Lead Machine Learning Research Engineer at Bosch Center for Artificial Intelligence (BCAI)
Darmstadt, Hesse, Germany
Summary
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Senior🎓
Top SchoolLukas Großberger is a Lead Machine Learning Research Engineer with a decade of experience bridging computational cognitive neuroscience and applied ML across manufacturing, robotics, autonomous systems and IoT. At Bosch Center for Artificial Intelligence he leads research-to-production efforts, building ML algorithms and ML-as-a-service solutions informed by deep domain knowledge in neural coding and brain–computer interfaces. His background includes founding and running software ventures, teaching and hands-on development, which gives him a rare combination of entrepreneurial pragmatism and rigorous research practice. Comfortable in interdisciplinary and international teams, he excels at turning complex, high-dimensional scientific problems into robust engineering solutions. Notably, his work blends unsupervised methods from neuroscience with scalable ML pipelines for industrial settings.
11 years of coding experience
13 years of employment as a software developer
Master of Science - MS Cognitive Neuroscience, Master of Science - MS Cognitive Neuroscience at Radboud UniversityTechnischen Universität Darmstadt
German, English, French, Dutch
Github Skills (143)
clustering-evaluation10
cluster-analysis10
location10
clustering-algorithm10
hdbscan10
meta-learning10
dimensionality-reduction9
hyperparameter-tuning9
projection9
topological-data-analysis9
python9
automl9
clustering9
approximation9
visualization9
Programming languages (14)
Github contributions (5)
LGro/PyAPSI
Apr 2022 - Jun 2022
Python wrapper for labeled and unlabeled asymmetric private set intersection (APSI).
Contributions:46 commits, 6 PRs, 94 pushes in 1 month
pythonpirpsiapsicpir
LGro/spot
Jun 2018 - Sep 2021
Contributions:17 commits, 1 push, 2 branches in 3 years 3 months
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